Use configured bug and security floors and 70% semantic lint cutoff
#21
by jfbrown95 - opened
- README.md +27 -25
- benchmark.py +6 -5
- predictions/current/bug/clm.jsonl +0 -0
- predictions/current/bug/diffusiongemma.jsonl +0 -0
- predictions/current/bug/jev.jsonl +0 -0
- predictions/current/bug/semif.jsonl +0 -0
- predictions/current/lint/clm.jsonl +0 -0
- predictions/current/lint/diffusiongemma.jsonl +32 -32
- predictions/current/lint/jev.jsonl +60 -60
- predictions/current/lint/semif.jsonl +0 -0
- predictions/current/security/diffusiongemma.jsonl +0 -0
- predictions/current/security/jev.jsonl +0 -0
- predictions/current/security/semif.jsonl +1 -1
- results-current.jsonl +24 -24
- results.jsonl +24 -0
README.md
CHANGED
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@@ -13,7 +13,7 @@ Pairs come from open-source projects in Rust, JavaScript, TypeScript, Python, Go
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## Reading the results
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- **AP** measures how well scores rank actual issues across cutoffs.
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-
- **
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- **Precision** is the share of alerts that are correct; **recall** is the share of actual issues found; **F1** combines both.
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- **TP**, **FP**, and **FN** are correct alerts, false alerts, and missed issues.
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- **Pair order** is the share of eligible repairs where the issue-bearing before method scores above the fixed after method. Ties do not count.
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@@ -26,10 +26,10 @@ Pairs come from open-source projects in Rust, JavaScript, TypeScript, Python, Go
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| Model | AP | Precision | Recall | F1 | TP | FP | FN | Pair order | Inference cost |
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| --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: |
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-
| [CLM-v0.1-8B](https://huggingface.co/Contrastive-LM/CLM-v0.1-8B) | 42.1% | 42.2% | **
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| [SemiF](https://github.com/TheoLeeCJ/SemIf) | 44.6% | 43.
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| [DiffusionGemma Jev](https://github.com/razorback16/openjev) | **46.8%** |
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| [Jev](https://typesafe.ai/blog/introducing-system-one-models-and-jev) | 46.2% | **
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_Sorted by F1. Bold marks the best value in each quality column; lower FP and FN are better._
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@@ -37,10 +37,10 @@ _Sorted by F1. Bold marks the best value in each quality column; lower FP and FN
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| Model | AP | Precision | Recall | F1 | TP | FP | FN | Pair order | Inference cost |
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| --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: |
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-
| [CLM-v0.1-8B](https://huggingface.co/Contrastive-LM/CLM-v0.1-8B) | 42.7% | 42.
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| 41 |
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| [SemiF](https://github.com/TheoLeeCJ/SemIf) | 44.5% | 44.
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| [DiffusionGemma Jev](https://github.com/razorback16/openjev) | **47.9%** | 49.
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| [Jev](https://typesafe.ai/blog/introducing-system-one-models-and-jev) | 47.0% | **
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_Sorted by F1. Bold marks the best value in each quality column; lower FP and FN are better._
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@@ -52,10 +52,10 @@ _Sorted by F1. Bold marks the best value in each quality column; lower FP and FN
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| Model | AP | Precision | Recall | F1 | TP | FP | FN | Pair order | Inference cost |
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| --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: |
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| [SemiF](https://github.com/TheoLeeCJ/SemIf) | 43.9% | 43.6% | **100.0%** | **60.7%** | **1,142** | 1,
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| [CLM-v0.1-8B](https://huggingface.co/Contrastive-LM/CLM-v0.1-8B) | 42.9% | 43.6% | **100.0%** |
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| [Jev](https://typesafe.ai/blog/introducing-system-one-models-and-jev) | **51.5%** | **
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| [DiffusionGemma Jev](https://github.com/razorback16/openjev) | 48.2% |
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_Sorted by F1. Bold marks the best value in each quality column; lower FP and FN are better._
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@@ -65,8 +65,8 @@ _Sorted by F1. Bold marks the best value in each quality column; lower FP and FN
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| --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: |
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| [SemiF](https://github.com/TheoLeeCJ/SemIf) | 46.8% | 45.3% | **100.0%** | **62.4%** | **398** | 480 | **0** | 50.0% | $0.074 |
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| [CLM-v0.1-8B](https://huggingface.co/Contrastive-LM/CLM-v0.1-8B) | 46.9% | 45.3% | **100.0%** | **62.4%** | **398** | 480 | **0** | 51.3% | ~$0.528 |
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-
| [Jev](https://
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| [
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_Sorted by F1. Bold marks the best value in each quality column; lower FP and FN are better._
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| Model | AP | Precision | Recall | F1 | TP | FP | FN | Pair order | Inference cost |
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| --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: |
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-
| [Jev](https://
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_Sorted by F1. Bold marks the best value in each quality column; lower FP and FN are better._
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@@ -89,15 +89,17 @@ _Sorted by F1. Bold marks the best value in each quality column; lower FP and FN
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| Model | AP | Precision | Recall | F1 | TP | FP | FN | Pair order | Inference cost |
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| --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: |
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| [Jev](https://typesafe.ai/blog/introducing-system-one-models-and-jev) | **94.3%** | **
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| [DiffusionGemma Jev](https://github.com/razorback16/openjev) | 83.0% | 86.
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| [CLM-v0.1-8B](https://huggingface.co/Contrastive-LM/CLM-v0.1-8B) | 51.4% | 50.
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| [SemiF](https://github.com/TheoLeeCJ/SemIf) | 48.9% |
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_Sorted by F1. Bold marks the best value in each quality column; lower FP and FN are better._
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-
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Inference costs cover scoring the method sides in each table. Jev costs are estimated from API-reported input tokens at [TypeSafe's published rate](https://typesafe.ai/blog/introducing-system-one-models-and-jev). Beam costs are API-reported. CLM cost is an estimated share of a 38.4-minute H100 run costing $2.23 total, allocated by embedding count. Jev's semantic-lint token cost was not recorded. Costs are not ranked.
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@@ -106,7 +108,7 @@ JevLike (192-byte input), Laya (512-token input), and Kev (packed-branch limit)
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## Files and reproduction
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- [`results-current.jsonl`](https://huggingface.co/datasets/perchscan/benchmark-results/blob/main/results-current.jsonl): current-pack aggregate results for public and private splits; no private pair data.
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- [`results.jsonl`](https://huggingface.co/datasets/perchscan/benchmark-results/blob/main/results.jsonl):
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- [`predictions/current/`](https://huggingface.co/datasets/perchscan/benchmark-results/tree/main/predictions/current): public method probabilities from this run. Private predictions are not published.
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- [`benchmark.py`](https://huggingface.co/datasets/perchscan/benchmark-results/blob/main/benchmark.py) and [`question-pack.json`](https://huggingface.co/datasets/perchscan/benchmark-results/blob/main/question-pack.json): reproducible current-pack scorer and frozen questions.
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- [`perch-lint-bench-public`](https://huggingface.co/datasets/perchscan/perch-lint-bench-public): paired rules and its runnable scorer.
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## Reading the results
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- **AP** measures how well scores rank actual issues across cutoffs.
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- **Alert floors:** Bug and security checks use their configured Perch floors: 60% for `has_bug`, 70% for `does_what_it_claims`, and 60% or 70% for individual CWEs. A method alerts when any applicable issue score is strictly above its floor. Semantic lint uses a 70% run-wide floor. All models use the same floors within each track.
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- **Precision** is the share of alerts that are correct; **recall** is the share of actual issues found; **F1** combines both.
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- **TP**, **FP**, and **FN** are correct alerts, false alerts, and missed issues.
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- **Pair order** is the share of eligible repairs where the issue-bearing before method scores above the fixed after method. Ties do not count.
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| Model | AP | Precision | Recall | F1 | TP | FP | FN | Pair order | Inference cost |
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| --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: |
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| [CLM-v0.1-8B](https://huggingface.co/Contrastive-LM/CLM-v0.1-8B) | 42.1% | 42.2% | **81.9%** | **55.7%** | **1,525** | 2,087 | **336** | 45.3% | ~$0.210 |
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| [SemiF](https://github.com/TheoLeeCJ/SemIf) | 44.6% | 43.9% | 43.0% | 43.4% | 800 | 1,023 | 1,061 | 44.9% | $0.239 |
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| [DiffusionGemma Jev](https://github.com/razorback16/openjev) | **46.8%** | 47.1% | 33.4% | 39.1% | 621 | 698 | 1,240 | **52.4%** | $0.239 |
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| [Jev](https://typesafe.ai/blog/introducing-system-one-models-and-jev) | 46.2% | **55.6%** | 5.9% | 10.6% | 109 | **87** | 1,752 | 42.1% | $0.620 |
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_Sorted by F1. Bold marks the best value in each quality column; lower FP and FN are better._
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| Model | AP | Precision | Recall | F1 | TP | FP | FN | Pair order | Inference cost |
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| --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: |
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+
| [CLM-v0.1-8B](https://huggingface.co/Contrastive-LM/CLM-v0.1-8B) | 42.7% | 42.4% | **79.5%** | **55.3%** | **337** | 458 | **87** | 47.9% | ~$0.047 |
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| [SemiF](https://github.com/TheoLeeCJ/SemIf) | 44.5% | 44.0% | 44.3% | 44.2% | 188 | 239 | 236 | 42.4% | $0.054 |
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| [DiffusionGemma Jev](https://github.com/razorback16/openjev) | **47.9%** | 49.4% | 35.8% | 41.5% | 152 | 156 | 272 | **53.1%** | $0.054 |
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| [Jev](https://typesafe.ai/blog/introducing-system-one-models-and-jev) | 47.0% | **51.9%** | 6.6% | 11.7% | 28 | **26** | 396 | 48.1% | $0.138 |
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_Sorted by F1. Bold marks the best value in each quality column; lower FP and FN are better._
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| Model | AP | Precision | Recall | F1 | TP | FP | FN | Pair order | Inference cost |
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| --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: |
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| [SemiF](https://github.com/TheoLeeCJ/SemIf) | 43.9% | 43.6% | **100.0%** | **60.7%** | **1,142** | 1,479 | **0** | 46.2% | $0.208 |
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| [CLM-v0.1-8B](https://huggingface.co/Contrastive-LM/CLM-v0.1-8B) | 42.9% | 43.6% | **100.0%** | 60.7% | **1,142** | 1,480 | **0** | 45.9% | ~$1.432 |
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| [Jev](https://typesafe.ai/blog/introducing-system-one-models-and-jev) | **51.5%** | **53.1%** | 34.6% | 41.9% | 395 | **349** | 747 | 52.6% | $0.507 |
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| [DiffusionGemma Jev](https://github.com/razorback16/openjev) | 48.2% | 49.7% | 33.1% | 39.7% | 378 | 382 | 764 | **53.7%** | $0.208 |
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_Sorted by F1. Bold marks the best value in each quality column; lower FP and FN are better._
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| --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: |
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| [SemiF](https://github.com/TheoLeeCJ/SemIf) | 46.8% | 45.3% | **100.0%** | **62.4%** | **398** | 480 | **0** | 50.0% | $0.074 |
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| [CLM-v0.1-8B](https://huggingface.co/Contrastive-LM/CLM-v0.1-8B) | 46.9% | 45.3% | **100.0%** | **62.4%** | **398** | 480 | **0** | 51.3% | ~$0.528 |
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| [DiffusionGemma Jev](https://github.com/razorback16/openjev) | **49.2%** | 49.4% | 21.9% | 30.3% | 87 | 89 | 311 | **51.5%** | $0.074 |
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| [Jev](https://typesafe.ai/blog/introducing-system-one-models-and-jev) | 48.9% | **50.6%** | 20.6% | 29.3% | 82 | **80** | 316 | 40.2% | $0.182 |
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_Sorted by F1. Bold marks the best value in each quality column; lower FP and FN are better._
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| Model | AP | Precision | Recall | F1 | TP | FP | FN | Pair order | Inference cost |
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| --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: |
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| [DiffusionGemma Jev](https://github.com/razorback16/openjev) | 87.0% | 91.1% | **52.8%** | **66.9%** | **113** | 11 | **101** | 86.4% | $0.018 |
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| [Jev](https://typesafe.ai/blog/introducing-system-one-models-and-jev) | **95.0%** | **99.1%** | 50.0% | 66.5% | 107 | **1** | 107 | **96.3%** | — |
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| [CLM-v0.1-8B](https://huggingface.co/Contrastive-LM/CLM-v0.1-8B) | 50.5% | 50.9% | 38.8% | 44.0% | 83 | 80 | 131 | 51.4% | ~$0.010 |
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| [SemiF](https://github.com/TheoLeeCJ/SemIf) | 50.0% | 50.7% | 32.2% | 39.4% | 69 | 67 | 145 | 56.5% | $0.018 |
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_Sorted by F1. Bold marks the best value in each quality column; lower FP and FN are better._
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| Model | AP | Precision | Recall | F1 | TP | FP | FN | Pair order | Inference cost |
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| --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: |
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| [Jev](https://typesafe.ai/blog/introducing-system-one-models-and-jev) | **94.3%** | **97.4%** | **53.5%** | **69.1%** | **38** | **1** | **33** | **94.4%** | — |
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| [DiffusionGemma Jev](https://github.com/razorback16/openjev) | 83.0% | 86.4% | **53.5%** | 66.1% | **38** | 6 | **33** | 85.9% | $0.006 |
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| [CLM-v0.1-8B](https://huggingface.co/Contrastive-LM/CLM-v0.1-8B) | 51.4% | 50.7% | 50.7% | 50.7% | 36 | 35 | 35 | 56.3% | ~$0.003 |
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| [SemiF](https://github.com/TheoLeeCJ/SemIf) | 48.9% | 48.4% | 42.3% | 45.1% | 30 | 32 | 41 | 50.7% | $0.006 |
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_Sorted by F1. Bold marks the best value in each quality column; lower FP and FN are better._
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The bug and security tables use Perch's configured question floors. Semantic lint rules have no configured floor, so this benchmark uses a 70% run-wide floor to limit noisy alerts.
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CLM-v0.1-8B still alerts on **every security method** at these floors; SemiF alerts on all but one public negative method and every private method. Their security F1 is therefore effectively the always-alert baseline, as the FP columns show.
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Inference costs cover scoring the method sides in each table. Jev costs are estimated from API-reported input tokens at [TypeSafe's published rate](https://typesafe.ai/blog/introducing-system-one-models-and-jev). Beam costs are API-reported. CLM cost is an estimated share of a 38.4-minute H100 run costing $2.23 total, allocated by embedding count. Jev's semantic-lint token cost was not recorded. Costs are not ranked.
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## Files and reproduction
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- [`results-current.jsonl`](https://huggingface.co/datasets/perchscan/benchmark-results/blob/main/results-current.jsonl): current-pack aggregate results for public and private splits; no private pair data.
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- [`results.jsonl`](https://huggingface.co/datasets/perchscan/benchmark-results/blob/main/results.jsonl): all recorded result versions, identified by run and protocol ID.
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- [`predictions/current/`](https://huggingface.co/datasets/perchscan/benchmark-results/tree/main/predictions/current): public method probabilities from this run. Private predictions are not published.
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- [`benchmark.py`](https://huggingface.co/datasets/perchscan/benchmark-results/blob/main/benchmark.py) and [`question-pack.json`](https://huggingface.co/datasets/perchscan/benchmark-results/blob/main/question-pack.json): reproducible current-pack scorer and frozen questions.
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- [`perch-lint-bench-public`](https://huggingface.co/datasets/perchscan/perch-lint-bench-public): paired rules and its runnable scorer.
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benchmark.py
CHANGED
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if set(question_scores) != expected:
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raise ValueError(f"Question scores differ from selected scan pack: {expected ^ set(question_scores)}")
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score = max(question_scores.values(), default=0.0)
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#
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#
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alert = any(question_scores[q["name"]] > threshold
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return score, alert
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"model_revision": model_revision,
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"protocol_id": protocol_id,
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"threshold": threshold,
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"alert_rule": "
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"question_pack_sha256": pack["pack_sha256"] if pack and protocol_id in (pack["protocol_id"], pack["binary_protocol_id"]) else None,
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"benchmark_sha256": digest,
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"benchmark_pairs": len(pairs),
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if mode == "scan":
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result.update(question_scores=question_scores, alert=alert,
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threshold=args.threshold,
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alert_rule="
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pack_sha256=pack["pack_sha256"])
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output.write(json.dumps(result) + "\n")
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output.flush()
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if set(question_scores) != expected:
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raise ValueError(f"Question scores differ from selected scan pack: {expected ^ set(question_scores)}")
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score = max(question_scores.values(), default=0.0)
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# Use the same per-question floor as a Perch scan. --threshold can only
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# raise that floor for the whole run.
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alert = any(question_scores[q["name"]] > max(threshold, (q.get("min") or 0) / 100)
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for q in relevant)
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return score, alert
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"model_revision": model_revision,
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"protocol_id": protocol_id,
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"threshold": threshold,
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"alert_rule": "any issue score > max(run threshold, question min)" if pack and protocol_id in (pack["protocol_id"], pack["binary_protocol_id"]) else "score >= threshold",
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"question_pack_sha256": pack["pack_sha256"] if pack and protocol_id in (pack["protocol_id"], pack["binary_protocol_id"]) else None,
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"benchmark_sha256": digest,
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"benchmark_pairs": len(pairs),
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if mode == "scan":
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result.update(question_scores=question_scores, alert=alert,
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threshold=args.threshold,
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alert_rule="any issue score > max(run threshold, question min)",
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pack_sha256=pack["pack_sha256"])
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output.write(json.dumps(result) + "\n")
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output.flush()
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predictions/current/bug/clm.jsonl
CHANGED
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predictions/current/lint/diffusiongemma.jsonl
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@@ -1,7 +1,7 @@
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| 1 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:analysis-dev__diktat-596:242162b945c0", "role": "after", "rule_true_probability": 0.7532497589225747, "score": 0.24675024107742527, "usage": {"cost": 1.8e-05, "input_tokens": 849, "output_tokens": 0}}
|
| 2 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "github-pr:rack/rack#2270", "role": "before", "rule_true_probability": 0.9960721982689532, "score": 0.003927801731046787, "usage": {"cost": 4e-05, "input_tokens": 1917, "output_tokens": 0}}
|
| 3 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "github-pr:rails/rails#58854", "role": "after", "rule_true_probability": 0.9671192807514414, "score": 0.03288071924855862, "usage": {"cost": 4.5e-05, "input_tokens": 2166, "output_tokens": 0}}
|
| 4 |
-
{"alert":
|
| 5 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:ant-design-blazor__ant-design-blazor-4147:71d86eb8c6c7", "role": "after", "rule_true_probability": 0.998014868701654, "score": 0.001985131298345988, "usage": {"cost": 5.5e-05, "input_tokens": 2602, "output_tokens": 0}}
|
| 6 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:anz-bank__sysl-1020:6644005fa407", "role": "before", "rule_true_probability": 0.9813126897471511, "score": 0.018687310252848865, "usage": {"cost": 3.8e-05, "input_tokens": 1821, "output_tokens": 0}}
|
| 7 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:analysis-dev__diktat-596:50bf988c970f", "role": "after", "rule_true_probability": 0.708766443792851, "score": 0.29123355620714897, "usage": {"cost": 1.7e-05, "input_tokens": 825, "output_tokens": 0}}
|
|
@@ -35,10 +35,10 @@
|
|
| 35 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:dependencytrack__dependency-track-2030:266300c4d70f", "role": "after", "rule_true_probability": 0.9873158276824279, "score": 0.012684172317572129, "usage": {"cost": 5e-05, "input_tokens": 2389, "output_tokens": 0}}
|
| 36 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:dependencytrack__dependency-track-2030:266300c4d70f", "role": "before", "rule_true_probability": 0.007481432983497122, "score": 0.9925185670165029, "usage": {"cost": 4.9e-05, "input_tokens": 2351, "output_tokens": 0}}
|
| 37 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:dotnet-script__dotnet-script-762:2906c196f88d", "role": "after", "rule_true_probability": 0.8272379746093274, "score": 0.17276202539067265, "usage": {"cost": 2.3e-05, "input_tokens": 1119, "output_tokens": 0}}
|
| 38 |
-
{"alert":
|
| 39 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:e2niee__pandapower-2017:41265c598a15", "role": "before", "rule_true_probability": 0.8534133305979225, "score": 0.14658666940207754, "usage": {"cost": 1.1e-05, "input_tokens": 510, "output_tokens": 0}}
|
| 40 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:dvanoni__notero-608:9b62d028fce0", "role": "before", "rule_true_probability": 0.9936458501535941, "score": 0.006354149846405921, "usage": {"cost": 4.3e-05, "input_tokens": 2071, "output_tokens": 0}}
|
| 41 |
-
{"alert":
|
| 42 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:cobalt-org__liquid-rust-404:b1a06d50da36", "role": "before", "rule_true_probability": 0.06592135712407148, "score": 0.9340786428759286, "usage": {"cost": 4.8e-05, "input_tokens": 2277, "output_tokens": 0}}
|
| 43 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:e2niee__pandapower-2017:41265c598a15", "role": "after", "rule_true_probability": 0.9974564100613748, "score": 0.002543589938625246, "usage": {"cost": 1.1e-05, "input_tokens": 510, "output_tokens": 0}}
|
| 44 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:eclipse-ee4j__yasson-510:53d7bca0dda5", "role": "before", "rule_true_probability": 0.9869262146045737, "score": 0.013073785395426252, "usage": {"cost": 2.8e-05, "input_tokens": 1350, "output_tokens": 0}}
|
|
@@ -56,12 +56,12 @@
|
|
| 56 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:evant__kotlin-inject-427:15b8dc7a726a", "role": "after", "rule_true_probability": 0.9993469392346649, "score": 0.0006530607653351117, "usage": {"cost": 5.9e-05, "input_tokens": 2810, "output_tokens": 0}}
|
| 57 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:evant__kotlin-inject-427:15b8dc7a726a", "role": "before", "rule_true_probability": 0.04009932813130337, "score": 0.9599006718686967, "usage": {"cost": 5.8e-05, "input_tokens": 2772, "output_tokens": 0}}
|
| 58 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:fontoxml__fontoxpath-629:2ec1ef18e1c1", "role": "before", "rule_true_probability": 0.6071446582807365, "score": 0.3928553417192635, "usage": {"cost": 7.9e-05, "input_tokens": 3751, "output_tokens": 0}}
|
| 59 |
-
{"alert":
|
| 60 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:getsentry__sentry-rust-846:ca3774c995f9", "role": "after", "rule_true_probability": 0.985069141213037, "score": 0.014930858786962986, "usage": {"cost": 6.1e-05, "input_tokens": 2886, "output_tokens": 0}}
|
| 61 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:getslash__slash-1035:8b461bfb87cf", "role": "after", "rule_true_probability": 0.9987012057902626, "score": 0.0012987942097374416, "usage": {"cost": 1.9e-05, "input_tokens": 909, "output_tokens": 0}}
|
| 62 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:getslash__slash-1035:8b461bfb87cf", "role": "before", "rule_true_probability": 0.020444809971691978, "score": 0.979555190028308, "usage": {"cost": 1.6e-05, "input_tokens": 757, "output_tokens": 0}}
|
| 63 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:go-kit__kit-974:f1b8a4c5cb1b", "role": "after", "rule_true_probability": 0.9979125203583975, "score": 0.0020874796416024965, "usage": {"cost": 1.4e-05, "input_tokens": 670, "output_tokens": 0}}
|
| 64 |
-
{"alert":
|
| 65 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:go-co-op__gocron-809:fc41814bae65", "role": "after", "rule_true_probability": 0.83713970936715, "score": 0.16286029063285, "usage": {"cost": 0.000136, "input_tokens": 6494, "output_tokens": 0}}
|
| 66 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:go-co-op__gocron-809:fc41814bae65", "role": "before", "rule_true_probability": 0.08938284897138891, "score": 0.9106171510286111, "usage": {"cost": 0.000137, "input_tokens": 6501, "output_tokens": 0}}
|
| 67 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:google__wire-220:5cae5f9c28ec", "role": "after", "rule_true_probability": 0.6964025071540358, "score": 0.30359749284596416, "usage": {"cost": 0.000127, "input_tokens": 6050, "output_tokens": 0}}
|
|
@@ -71,7 +71,7 @@
|
|
| 71 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:gradleup__shadow-1177:8b7e9cd38797", "role": "after", "rule_true_probability": 0.8372494091251527, "score": 0.16275059087484733, "usage": {"cost": 3.5e-05, "input_tokens": 1648, "output_tokens": 0}}
|
| 72 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:googleapis__google-http-java-client-1423:f20671cdd5d7", "role": "after", "rule_true_probability": 0.03538728597102611, "score": 0.9646127140289739, "usage": {"cost": 2.4e-05, "input_tokens": 1150, "output_tokens": 0}}
|
| 73 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:google__wire-220:5cae5f9c28ec", "role": "before", "rule_true_probability": 0.5941654314787697, "score": 0.40583456852123034, "usage": {"cost": 0.000127, "input_tokens": 6049, "output_tokens": 0}}
|
| 74 |
-
{"alert":
|
| 75 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:iamconsortium__pyam-261:bd4ecf7297cd", "role": "before", "rule_true_probability": 0.07144580173145185, "score": 0.9285541982685481, "usage": {"cost": 0.000125, "input_tokens": 5954, "output_tokens": 0}}
|
| 76 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:kelektiv__node-cron-924:2a70d468ee9d", "role": "before", "rule_true_probability": 0.9893554284111249, "score": 0.010644571588875107, "usage": {"cost": 6e-05, "input_tokens": 2869, "output_tokens": 0}}
|
| 77 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:kotlin__binary-compatibility-validator-247:c70a9ee1f553", "role": "after", "rule_true_probability": 0.9901152006859779, "score": 0.009884799314022086, "usage": {"cost": 1.7e-05, "input_tokens": 787, "output_tokens": 0}}
|
|
@@ -84,7 +84,7 @@
|
|
| 84 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:laravel__framework-42606:5b81579cfc35", "role": "after", "rule_true_probability": 0.9983172778896189, "score": 0.0016827221103811185, "usage": {"cost": 1.2e-05, "input_tokens": 595, "output_tokens": 0}}
|
| 85 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:http4s__http4s-7180:7a5c51792454", "role": "after", "rule_true_probability": 0.9930678712338978, "score": 0.0069321287661021636, "usage": {"cost": 1.9e-05, "input_tokens": 921, "output_tokens": 0}}
|
| 86 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:http4s__http4s-7180:7a5c51792454", "role": "before", "rule_true_probability": 0.024760409743154504, "score": 0.9752395902568455, "usage": {"cost": 1.5e-05, "input_tokens": 720, "output_tokens": 0}}
|
| 87 |
-
{"alert":
|
| 88 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:kotlin__binary-compatibility-validator-247:c70a9ee1f553", "role": "before", "rule_true_probability": 0.0021495094930281313, "score": 0.9978504905069718, "usage": {"cost": 1.6e-05, "input_tokens": 772, "output_tokens": 0}}
|
| 89 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:humbug__php-scoper-830:d9d374afe8b3", "role": "before", "rule_true_probability": 0.009458762365010427, "score": 0.9905412376349896, "usage": {"cost": 2.9e-05, "input_tokens": 1365, "output_tokens": 0}}
|
| 90 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:humbug__php-scoper-830:d9d374afe8b3", "role": "after", "rule_true_probability": 0.9902969685814238, "score": 0.009703031418576202, "usage": {"cost": 3e-05, "input_tokens": 1423, "output_tokens": 0}}
|
|
@@ -115,7 +115,7 @@
|
|
| 115 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:nodejs__llhttp-245:013562950290", "role": "before", "rule_true_probability": 0.7309152957882763, "score": 0.2690847042117237, "usage": {"cost": 3e-05, "input_tokens": 1428, "output_tokens": 0}}
|
| 116 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:nvim-lua__plenary.nvim-279:798441f21fe4", "role": "after", "rule_true_probability": 0.5758260908205732, "score": 0.42417390917942677, "usage": {"cost": 5.2e-05, "input_tokens": 2489, "output_tokens": 0}}
|
| 117 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:nvim-lua__plenary.nvim-251:c9a5c5992ad9", "role": "after", "rule_true_probability": 0.9440639532553349, "score": 0.055936046744665124, "usage": {"cost": 5.1e-05, "input_tokens": 2436, "output_tokens": 0}}
|
| 118 |
-
{"alert":
|
| 119 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:nvim-lua__plenary.nvim-279:798441f21fe4", "role": "before", "rule_true_probability": 0.07652770528945667, "score": 0.9234722947105434, "usage": {"cost": 5.2e-05, "input_tokens": 2485, "output_tokens": 0}}
|
| 120 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:nvim-lualine__lualine.nvim-836:c7d0510d972d", "role": "after", "rule_true_probability": 0.9393088020963802, "score": 0.060691197903619765, "usage": {"cost": 3.8e-05, "input_tokens": 1826, "output_tokens": 0}}
|
| 121 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:nvim-lualine__lualine.nvim-836:c7d0510d972d", "role": "before", "rule_true_probability": 0.8156226124475272, "score": 0.1843773875524728, "usage": {"cost": 3.8e-05, "input_tokens": 1802, "output_tokens": 0}}
|
|
@@ -134,11 +134,11 @@
|
|
| 134 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:pyg-team__pytorch_geometric-7902:37a1bab98c01", "role": "after", "rule_true_probability": 0.9924649533588432, "score": 0.007535046641156784, "usage": {"cost": 2.3e-05, "input_tokens": 1107, "output_tokens": 0}}
|
| 135 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:pyg-team__pytorch_geometric-7902:37a1bab98c01", "role": "before", "rule_true_probability": 0.0006574961451928067, "score": 0.9993425038548072, "usage": {"cost": 2.3e-05, "input_tokens": 1088, "output_tokens": 0}}
|
| 136 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:projectevergreen__wcc-85:f228b8a65722", "role": "after", "rule_true_probability": 0.9916061426155891, "score": 0.008393857384410897, "usage": {"cost": 9e-06, "input_tokens": 412, "output_tokens": 0}}
|
| 137 |
-
{"alert":
|
| 138 |
-
{"alert":
|
| 139 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:redis__redis-9244:3863ba0977d0", "role": "before", "rule_true_probability": 0.0873412914648195, "score": 0.9126587085351805, "usage": {"cost": 4.8e-05, "input_tokens": 2284, "output_tokens": 0}}
|
| 140 |
-
{"alert":
|
| 141 |
-
{"alert":
|
| 142 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:retroachievements__raintegration-974:83021106bdc1", "role": "before", "rule_true_probability": 0.0032922669601104086, "score": 0.9967077330398896, "usage": {"cost": 2.5e-05, "input_tokens": 1173, "output_tokens": 0}}
|
| 143 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:retroachievements__raintegration-1010:3e88a4b9e072", "role": "after", "rule_true_probability": 0.9941632200644058, "score": 0.005836779935594172, "usage": {"cost": 2.2e-05, "input_tokens": 1066, "output_tokens": 0}}
|
| 144 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:projectdiscovery__httpx-1009:79b46a1527a0", "role": "after", "rule_true_probability": 0.9843269365437928, "score": 0.015673063456207226, "usage": {"cost": 0.000101, "input_tokens": 4807, "output_tokens": 0}}
|
|
@@ -172,10 +172,10 @@
|
|
| 172 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:sparkpost__node-sparkpost-148:9b82b23c5628", "role": "before", "rule_true_probability": 0.9906420113126226, "score": 0.009357988687377361, "usage": {"cost": 1.8e-05, "input_tokens": 841, "output_tokens": 0}}
|
| 173 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:source-academy__js-slang-125:e581a114993a", "role": "after", "rule_true_probability": 0.7836035115718253, "score": 0.21639648842817472, "usage": {"cost": 4e-05, "input_tokens": 1917, "output_tokens": 0}}
|
| 174 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:spatie__laravel-permission-2759:0a794d159955", "role": "after", "rule_true_probability": 0.5419515015382096, "score": 0.4580484984617904, "usage": {"cost": 1.2e-05, "input_tokens": 578, "output_tokens": 0}}
|
| 175 |
-
{"alert":
|
| 176 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:static-web-server__static-web-server-166:4f7474135c5c", "role": "after", "rule_true_probability": 0.9381812299986406, "score": 0.06181877000135938, "usage": {"cost": 4.8e-05, "input_tokens": 2286, "output_tokens": 0}}
|
| 177 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:sparkpost__node-sparkpost-148:9b82b23c5628", "role": "after", "rule_true_probability": 0.9974564105150472, "score": 0.002543589484952813, "usage": {"cost": 1.6e-05, "input_tokens": 783, "output_tokens": 0}}
|
| 178 |
-
{"alert":
|
| 179 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:static-web-server__static-web-server-471:41e60549a6a5", "role": "before", "rule_true_probability": 0.07185279314682172, "score": 0.9281472068531783, "usage": {"cost": 4.7e-05, "input_tokens": 2243, "output_tokens": 0}}
|
| 180 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:symfony__ux-2757:c66bcc7fb459", "role": "before", "rule_true_probability": 0.15001275697076583, "score": 0.8499872430292341, "usage": {"cost": 1.4e-05, "input_tokens": 677, "output_tokens": 0}}
|
| 181 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:static-web-server__static-web-server-471:41e60549a6a5", "role": "after", "rule_true_probability": 0.9918255074617791, "score": 0.00817449253822089, "usage": {"cost": 4.8e-05, "input_tokens": 2301, "output_tokens": 0}}
|
|
@@ -195,12 +195,12 @@
|
|
| 195 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:tailwindlabs__tailwindcss-jit-30:56eb4c7c5d3d", "role": "after", "rule_true_probability": 0.9947922892053919, "score": 0.005207710794608134, "usage": {"cost": 1.1e-05, "input_tokens": 504, "output_tokens": 0}}
|
| 196 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:stephenh__ts-proto-482:2c4db1024eea", "role": "before", "rule_true_probability": 0.2885839681416089, "score": 0.7114160318583911, "usage": {"cost": 0.00019, "input_tokens": 9047, "output_tokens": 0}}
|
| 197 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:victoriametrics__victoriametrics-8938:26e3b88f3a9f", "role": "after", "rule_true_probability": 0.9116801162764979, "score": 0.08831988372350208, "usage": {"cost": 0.000205, "input_tokens": 9783, "output_tokens": 0}}
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{"alert":
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| 199 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:tighten__tlint-286:9a19f4bedfd0", "role": "after", "rule_true_probability": 0.9856070980833738, "score": 0.014392901916626233, "usage": {"cost": 1e-05, "input_tokens": 477, "output_tokens": 0}}
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| 200 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:tomarrell__lbadd-65:c42e988fea98", "role": "after", "rule_true_probability": 0.9667182033612312, "score": 0.033281796638768846, "usage": {"cost": 3.4e-05, "input_tokens": 1601, "output_tokens": 0}}
|
| 201 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:tighten__tlint-286:9a19f4bedfd0", "role": "before", "rule_true_probability": 0.5748334818719182, "score": 0.4251665181280818, "usage": {"cost": 9e-06, "input_tokens": 450, "output_tokens": 0}}
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| 202 |
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{"alert":
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{"alert":
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| 204 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:urlaubsverwaltung__urlaubsverwaltung-4625:cd0db66e73d7", "role": "after", "rule_true_probability": 0.8895500165921066, "score": 0.11044998340789336, "usage": {"cost": 2.9e-05, "input_tokens": 1358, "output_tokens": 0}}
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| 205 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:w3c__epubcheck-1581:603cbbb78385", "role": "after", "rule_true_probability": 0.9548652643531456, "score": 0.04513473564685444, "usage": {"cost": 6.9e-05, "input_tokens": 3300, "output_tokens": 0}}
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| 206 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:wakujs__waku-1427:0084a534a10e", "role": "after", "rule_true_probability": 0.9464443213618717, "score": 0.05355567863812827, "usage": {"cost": 2.1e-05, "input_tokens": 1000, "output_tokens": 0}}
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@@ -208,7 +208,7 @@
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| 208 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:zalando__zappr-527:43f64f7a8ce9", "role": "after", "rule_true_probability": 0.9940617901721893, "score": 0.005938209827810681, "usage": {"cost": 8.2e-05, "input_tokens": 3901, "output_tokens": 0}}
|
| 209 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:wakujs__waku-1427:0084a534a10e", "role": "before", "rule_true_probability": 0.022331410147214376, "score": 0.9776685898527856, "usage": {"cost": 2e-05, "input_tokens": 974, "output_tokens": 0}}
|
| 210 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:victoriametrics__victoriametrics-8938:26e3b88f3a9f", "role": "before", "rule_true_probability": 0.8121629960709971, "score": 0.18783700392900293, "usage": {"cost": 0.000205, "input_tokens": 9783, "output_tokens": 0}}
|
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-
{"alert":
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| 212 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:zeek__zeek-4539:eea68e10da4e", "role": "before", "rule_true_probability": 0.7068576183879518, "score": 0.2931423816120482, "usage": {"cost": 4.6e-05, "input_tokens": 2193, "output_tokens": 0}}
|
| 213 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:zeek__zeek-4539:eea68e10da4e", "role": "after", "rule_true_probability": 0.8563647561175194, "score": 0.1436352438824806, "usage": {"cost": 4.6e-05, "input_tokens": 2201, "output_tokens": 0}}
|
| 214 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swebench-v1:0053ba0bea69d64aeac46c41", "role": "before", "rule_true_probability": 0.9680090458137305, "score": 0.031990954186269516, "usage": {"cost": 3.8e-05, "input_tokens": 1801, "output_tokens": 0}}
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@@ -218,7 +218,7 @@
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| 218 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swebench-v1:00d1bdc4e7a13e09b4de4dc9", "role": "after", "rule_true_probability": 0.998182665122944, "score": 0.0018173348770560427, "usage": {"cost": 1.5e-05, "input_tokens": 704, "output_tokens": 0}}
|
| 219 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swebench-v1:0053ba0bea69d64aeac46c41", "role": "after", "rule_true_probability": 0.9972176250290243, "score": 0.002782374970975665, "usage": {"cost": 3.9e-05, "input_tokens": 1838, "output_tokens": 0}}
|
| 220 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swebench-v1:029f640ae15bab40edf490f0", "role": "before", "rule_true_probability": 0.995845336091882, "score": 0.004154663908118028, "usage": {"cost": 3.4e-05, "input_tokens": 1621, "output_tokens": 0}}
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| 221 |
-
{"alert":
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| 222 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swebench-v1:093131facc1e2d9906306d40", "role": "after", "rule_true_probability": 0.7221586277295273, "score": 0.2778413722704727, "usage": {"cost": 2.6e-05, "input_tokens": 1254, "output_tokens": 0}}
|
| 223 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swebench-v1:04f0ab55d141c0290d2e50ae", "role": "after", "rule_true_probability": 0.5865543037837853, "score": 0.41344569621621474, "usage": {"cost": 4.8e-05, "input_tokens": 2280, "output_tokens": 0}}
|
| 224 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swebench-v1:093131facc1e2d9906306d40", "role": "before", "rule_true_probability": 0.09301937427786153, "score": 0.9069806257221384, "usage": {"cost": 2.5e-05, "input_tokens": 1202, "output_tokens": 0}}
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@@ -241,14 +241,14 @@
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| 241 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "c3530210bb0961ed1d266c50", "role": "before", "rule_true_probability": 0.024512957887144082, "score": 0.9754870421128559, "usage": {"cost": 3.6e-05, "input_tokens": 1691, "output_tokens": 0}}
|
| 242 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "105fe03be99c099cbfa5eed5", "role": "before", "rule_true_probability": 0.5759104112044443, "score": 0.4240895887955557, "usage": {"cost": 0.000213, "input_tokens": 10133, "output_tokens": 0}}
|
| 243 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "c3530210bb0961ed1d266c50", "role": "after", "rule_true_probability": 0.9852092577068934, "score": 0.014790742293106618, "usage": {"cost": 3.7e-05, "input_tokens": 1778, "output_tokens": 0}}
|
| 244 |
-
{"alert":
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| 245 |
-
{"alert":
|
| 246 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "gapauth:1c37df75769d5e55b7c8d7d3", "role": "before", "rule_true_probability": 0.003963505106852704, "score": 0.9960364948931473, "usage": {"cost": 2.2e-05, "input_tokens": 1054, "output_tokens": 0}}
|
| 247 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "de6dbd793488a59c1a32387e", "role": "after", "rule_true_probability": 0.6260009220939038, "score": 0.3739990779060962, "usage": {"cost": 3.3e-05, "input_tokens": 1557, "output_tokens": 0}}
|
| 248 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "gapauth:d0fea8de8d2ee566df24f8db", "role": "before", "rule_true_probability": 0.04624636356088168, "score": 0.9537536364391184, "usage": {"cost": 1.9e-05, "input_tokens": 925, "output_tokens": 0}}
|
| 249 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "fd45265c79745554ce66fbf1", "role": "after", "rule_true_probability": 0.8269955210175212, "score": 0.17300447898247884, "usage": {"cost": 5.7e-05, "input_tokens": 2719, "output_tokens": 0}}
|
| 250 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "gapauth:1c37df75769d5e55b7c8d7d3", "role": "after", "rule_true_probability": 0.9980795933725277, "score": 0.001920406627472282, "usage": {"cost": 2.3e-05, "input_tokens": 1105, "output_tokens": 0}}
|
| 251 |
-
{"alert":
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| 252 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "gapauth:b64272a984ba1553726075c0", "role": "before", "rule_true_probability": 0.03817091823077526, "score": 0.9618290817692248, "usage": {"cost": 0.000101, "input_tokens": 4812, "output_tokens": 0}}
|
| 253 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "gapauth:d0fea8de8d2ee566df24f8db", "role": "after", "rule_true_probability": 0.999533423919858, "score": 0.00046657608014200047, "usage": {"cost": 2.1e-05, "input_tokens": 1007, "output_tokens": 0}}
|
| 254 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "gapauth:b64272a984ba1553726075c0", "role": "after", "rule_true_probability": 0.9892881066804287, "score": 0.010711893319571342, "usage": {"cost": 0.000104, "input_tokens": 4933, "output_tokens": 0}}
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@@ -256,8 +256,8 @@
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| 256 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:02aca0684267aaa581ae0d5f", "role": "after", "rule_true_probability": 0.05834678457266837, "score": 0.9416532154273316, "usage": {"cost": 1.2e-05, "input_tokens": 558, "output_tokens": 0}}
|
| 257 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "gapauth:d732e61fc21036115b3665ca", "role": "after", "rule_true_probability": 0.9771722345191421, "score": 0.022827765480857853, "usage": {"cost": 3.1e-05, "input_tokens": 1465, "output_tokens": 0}}
|
| 258 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:02aca0684267aaa581ae0d5f", "role": "before", "rule_true_probability": 0.07898109440903478, "score": 0.9210189055909652, "usage": {"cost": 1.1e-05, "input_tokens": 546, "output_tokens": 0}}
|
| 259 |
-
{"alert":
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| 260 |
-
{"alert":
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| 261 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:0a9e7b338fb1f2618b4f879f", "role": "after", "rule_true_probability": 0.9985553199493503, "score": 0.0014446800506496826, "usage": {"cost": 2.3e-05, "input_tokens": 1107, "output_tokens": 0}}
|
| 262 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:189c9212337aac1cf2b55bd5", "role": "after", "rule_true_probability": 0.7934856495391671, "score": 0.20651435046083289, "usage": {"cost": 1.8e-05, "input_tokens": 836, "output_tokens": 0}}
|
| 263 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:0a9e7b338fb1f2618b4f879f", "role": "before", "rule_true_probability": 0.015605352109314427, "score": 0.9843946478906855, "usage": {"cost": 2.2e-05, "input_tokens": 1042, "output_tokens": 0}}
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@@ -272,11 +272,11 @@
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|
| 272 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:2125022c1c24a261e89127dc", "role": "after", "rule_true_probability": 0.9796375003989568, "score": 0.020362499601043194, "usage": {"cost": 1.3e-05, "input_tokens": 613, "output_tokens": 0}}
|
| 273 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:21727757de29fa293f1a79c1", "role": "before", "rule_true_probability": 0.9491146602316228, "score": 0.05088533976837717, "usage": {"cost": 5.2e-05, "input_tokens": 2469, "output_tokens": 0}}
|
| 274 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:21727757de29fa293f1a79c1", "role": "after", "rule_true_probability": 0.9721829245495047, "score": 0.027817075450495277, "usage": {"cost": 5.2e-05, "input_tokens": 2487, "output_tokens": 0}}
|
| 275 |
-
{"alert":
|
| 276 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:22286664348a2ee641b6c953", "role": "before", "rule_true_probability": 0.9635469901657725, "score": 0.0364530098342275, "usage": {"cost": 4.1e-05, "input_tokens": 1935, "output_tokens": 0}}
|
| 277 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:229bb05ca26d3d494b4f9f46", "role": "before", "rule_true_probability": 0.015598053765951426, "score": 0.9844019462340485, "usage": {"cost": 5.8e-05, "input_tokens": 2761, "output_tokens": 0}}
|
| 278 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:285cd6b89e826dea9d14f7e7", "role": "before", "rule_true_probability": 0.26170481014451874, "score": 0.7382951898554813, "usage": {"cost": 2e-05, "input_tokens": 930, "output_tokens": 0}}
|
| 279 |
-
{"alert":
|
| 280 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:22286664348a2ee641b6c953", "role": "after", "rule_true_probability": 0.9500261759206138, "score": 0.04997382407938622, "usage": {"cost": 3.5e-05, "input_tokens": 1659, "output_tokens": 0}}
|
| 281 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:285cd6b89e826dea9d14f7e7", "role": "after", "rule_true_probability": 0.9996768285057789, "score": 0.00032317149422111946, "usage": {"cost": 2.3e-05, "input_tokens": 1100, "output_tokens": 0}}
|
| 282 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:229bb05ca26d3d494b4f9f46", "role": "after", "rule_true_probability": 0.971186738881367, "score": 0.028813261118633027, "usage": {"cost": 6.1e-05, "input_tokens": 2909, "output_tokens": 0}}
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@@ -318,12 +318,12 @@
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|
| 318 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:8446168bf41b9c2936528f51", "role": "after", "rule_true_probability": 0.9995967928629811, "score": 0.00040320713701891275, "usage": {"cost": 5.5e-05, "input_tokens": 2627, "output_tokens": 0}}
|
| 319 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:7386e5f89370145dc7207f61", "role": "before", "rule_true_probability": 0.0006834690501474183, "score": 0.9993165309498526, "usage": {"cost": 2.1e-05, "input_tokens": 1016, "output_tokens": 0}}
|
| 320 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:6503fb5ce44056fde3777ffc", "role": "after", "rule_true_probability": 0.9986997953280115, "score": 0.0013002046719885474, "usage": {"cost": 6.4e-05, "input_tokens": 3043, "output_tokens": 0}}
|
| 321 |
-
{"alert":
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| 322 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:77f79308658fbbeee720157b", "role": "after", "rule_true_probability": 0.995436146739294, "score": 0.004563853260705963, "usage": {"cost": 2.6e-05, "input_tokens": 1216, "output_tokens": 0}}
|
| 323 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:7dee3137055aa9e823829647", "role": "after", "rule_true_probability": 0.6689588292314601, "score": 0.3310411707685399, "usage": {"cost": 1.6e-05, "input_tokens": 773, "output_tokens": 0}}
|
| 324 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:7d9cb914ce31952873f847da", "role": "after", "rule_true_probability": 0.9995325983952946, "score": 0.0004674016047053753, "usage": {"cost": 1.5e-05, "input_tokens": 728, "output_tokens": 0}}
|
| 325 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:8446168bf41b9c2936528f51", "role": "before", "rule_true_probability": 0.005189856429687715, "score": 0.9948101435703123, "usage": {"cost": 5.3e-05, "input_tokens": 2526, "output_tokens": 0}}
|
| 326 |
-
{"alert":
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| 327 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:8572f56d6cdbc847a472a123", "role": "after", "rule_true_probability": 0.9766762249540804, "score": 0.023323775045919648, "usage": {"cost": 1.2e-05, "input_tokens": 551, "output_tokens": 0}}
|
| 328 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:8572f56d6cdbc847a472a123", "role": "before", "rule_true_probability": 0.0041397199716334335, "score": 0.9958602800283666, "usage": {"cost": 1.1e-05, "input_tokens": 527, "output_tokens": 0}}
|
| 329 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:8746ed155e16c8cc9c570e6f", "role": "before", "rule_true_probability": 0.9901610919336764, "score": 0.009838908066323593, "usage": {"cost": 2.5e-05, "input_tokens": 1183, "output_tokens": 0}}
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@@ -349,7 +349,7 @@
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|
| 349 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:af41087a90af1dca6d52f124", "role": "before", "rule_true_probability": 0.03516924103952967, "score": 0.9648307589604703, "usage": {"cost": 1.3e-05, "input_tokens": 612, "output_tokens": 0}}
|
| 350 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:aa2346712c7603768551db1e", "role": "after", "rule_true_probability": 0.08273757500477487, "score": 0.9172624249952251, "usage": {"cost": 4e-05, "input_tokens": 1905, "output_tokens": 0}}
|
| 351 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:c32401c375fa1dec73c7a7b0", "role": "before", "rule_true_probability": 0.03506608805869294, "score": 0.9649339119413071, "usage": {"cost": 2.9e-05, "input_tokens": 1385, "output_tokens": 0}}
|
| 352 |
-
{"alert":
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| 353 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:bffa674ed9d81028525b59a1", "role": "after", "rule_true_probability": 0.9357428475701501, "score": 0.06425715242984986, "usage": {"cost": 9e-05, "input_tokens": 4269, "output_tokens": 0}}
|
| 354 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:af41087a90af1dca6d52f124", "role": "after", "rule_true_probability": 0.6517697008675641, "score": 0.34823029913243586, "usage": {"cost": 1.3e-05, "input_tokens": 635, "output_tokens": 0}}
|
| 355 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:ad6059f12aec5c5d309a0af9", "role": "before", "rule_true_probability": 0.08608833494550867, "score": 0.9139116650544913, "usage": {"cost": 7.5e-05, "input_tokens": 3566, "output_tokens": 0}}
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@@ -373,7 +373,7 @@
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|
| 373 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:f22168ed2c8ed6c70404608e", "role": "before", "rule_true_probability": 0.9939399017488499, "score": 0.006060098251150059, "usage": {"cost": 2e-05, "input_tokens": 936, "output_tokens": 0}}
|
| 374 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:eaa78aace8fc0f77f5bf88e2", "role": "after", "rule_true_probability": 0.8920224996474179, "score": 0.10797750035258213, "usage": {"cost": 1.3e-05, "input_tokens": 596, "output_tokens": 0}}
|
| 375 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:f086c7863961e3264025b7d4", "role": "before", "rule_true_probability": 0.016479280012146186, "score": 0.9835207199878538, "usage": {"cost": 4.9e-05, "input_tokens": 2325, "output_tokens": 0}}
|
| 376 |
-
{"alert":
|
| 377 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:e5d1aae995e5b64c8ce0dfa9", "role": "before", "rule_true_probability": 0.057716823680219013, "score": 0.942283176319781, "usage": {"cost": 8.1e-05, "input_tokens": 3872, "output_tokens": 0}}
|
| 378 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:f086c7863961e3264025b7d4", "role": "after", "rule_true_probability": 0.9994195962816714, "score": 0.0005804037183285704, "usage": {"cost": 4.9e-05, "input_tokens": 2335, "output_tokens": 0}}
|
| 379 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:f22168ed2c8ed6c70404608e", "role": "after", "rule_true_probability": 0.9932045297879046, "score": 0.006795470212095367, "usage": {"cost": 2e-05, "input_tokens": 948, "output_tokens": 0}}
|
|
@@ -386,7 +386,7 @@
|
|
| 386 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:fb4c62a5fe82552aaed01d9f", "role": "before", "rule_true_probability": 0.18437481056374413, "score": 0.8156251894362558, "usage": {"cost": 8.2e-05, "input_tokens": 3925, "output_tokens": 0}}
|
| 387 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:fbfa7dede0914f37a0b85b88", "role": "after", "rule_true_probability": 0.9723214492037332, "score": 0.0276785507962668, "usage": {"cost": 1.3e-05, "input_tokens": 623, "output_tokens": 0}}
|
| 388 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:fb4c62a5fe82552aaed01d9f", "role": "after", "rule_true_probability": 0.0555040110800504, "score": 0.9444959889199496, "usage": {"cost": 9e-05, "input_tokens": 4297, "output_tokens": 0}}
|
| 389 |
-
{"alert":
|
| 390 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "github-advisory:altcha-org/altcha-lib-php:9e9e70c864a9db960d071c77c778be0c9ff1a4d0:e77a3026cc9f", "role": "before", "rule_true_probability": 0.6887346766525877, "score": 0.3112653233474123, "usage": {"cost": 1.1e-05, "input_tokens": 534, "output_tokens": 0}}
|
| 391 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "ghsa-source:fca777f6b1f7ea52770d6838", "role": "after", "rule_true_probability": 0.9875550639937334, "score": 0.012444936006266616, "usage": {"cost": 2.1e-05, "input_tokens": 1003, "output_tokens": 0}}
|
| 392 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "github-advisory:altcha-org/altcha-lib:cb95d83a8d08e273b6be15e48988e7eaf60d5c08:70369c7907dc", "role": "before", "rule_true_probability": 0.8390420028910186, "score": 0.1609579971089814, "usage": {"cost": 4.1e-05, "input_tokens": 1937, "output_tokens": 0}}
|
|
@@ -419,7 +419,7 @@
|
|
| 419 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "github-advisory:cyberdrop-dl/cyberdrop-dl:4479555ae3f9d56d7657d6179a5bac3123eb4e2b:ef42a181abe3", "role": "before", "rule_true_probability": 0.01476580808617744, "score": 0.9852341919138226, "usage": {"cost": 4.7e-05, "input_tokens": 2215, "output_tokens": 0}}
|
| 420 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "github-advisory:comfy-org/comfyui-manager:ef8703a3d7ab4e6ecda8f96e0c5816c23d1cb262:05f1045df598", "role": "after", "rule_true_probability": 0.9981910879290085, "score": 0.0018089120709915418, "usage": {"cost": 5.8e-05, "input_tokens": 2765, "output_tokens": 0}}
|
| 421 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "native-cwe120-exp-v1:7e7983a281c8561a", "role": "after", "rule_true_probability": 0.9721350751004622, "score": 0.027864924899537846, "usage": {"cost": 6.2e-05, "input_tokens": 2975, "output_tokens": 0}}
|
| 422 |
-
{"alert":
|
| 423 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "native-cwe120-v2:case_db3d8def02599df0", "role": "after", "rule_true_probability": 0.9968136850298852, "score": 0.0031863149701147897, "usage": {"cost": 9e-06, "input_tokens": 414, "output_tokens": 0}}
|
| 424 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "zephyrproject-rtos_zephyr__8dc7a37bc754__z_vrfy_k_poll", "role": "before", "rule_true_probability": 0.9867850892143831, "score": 0.013214910785616873, "usage": {"cost": 4.1e-05, "input_tokens": 1965, "output_tokens": 0}}
|
| 425 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "native-cwe120-v2:case_db3d8def02599df0", "role": "before", "rule_true_probability": 0.08302506378770091, "score": 0.9169749362122991, "usage": {"cost": 8e-06, "input_tokens": 380, "output_tokens": 0}}
|
|
|
|
| 1 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:analysis-dev__diktat-596:242162b945c0", "role": "after", "rule_true_probability": 0.7532497589225747, "score": 0.24675024107742527, "usage": {"cost": 1.8e-05, "input_tokens": 849, "output_tokens": 0}}
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| 2 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "github-pr:rack/rack#2270", "role": "before", "rule_true_probability": 0.9960721982689532, "score": 0.003927801731046787, "usage": {"cost": 4e-05, "input_tokens": 1917, "output_tokens": 0}}
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| 3 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "github-pr:rails/rails#58854", "role": "after", "rule_true_probability": 0.9671192807514414, "score": 0.03288071924855862, "usage": {"cost": 4.5e-05, "input_tokens": 2166, "output_tokens": 0}}
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| 4 |
+
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:analysis-dev__diktat-596:242162b945c0", "role": "before", "rule_true_probability": 0.415030350599448, "score": 0.5849696494005521, "usage": {"cost": 1.8e-05, "input_tokens": 848, "output_tokens": 0}}
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| 5 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:ant-design-blazor__ant-design-blazor-4147:71d86eb8c6c7", "role": "after", "rule_true_probability": 0.998014868701654, "score": 0.001985131298345988, "usage": {"cost": 5.5e-05, "input_tokens": 2602, "output_tokens": 0}}
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| 6 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:anz-bank__sysl-1020:6644005fa407", "role": "before", "rule_true_probability": 0.9813126897471511, "score": 0.018687310252848865, "usage": {"cost": 3.8e-05, "input_tokens": 1821, "output_tokens": 0}}
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| 7 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:analysis-dev__diktat-596:50bf988c970f", "role": "after", "rule_true_probability": 0.708766443792851, "score": 0.29123355620714897, "usage": {"cost": 1.7e-05, "input_tokens": 825, "output_tokens": 0}}
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|
|
|
| 35 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:dependencytrack__dependency-track-2030:266300c4d70f", "role": "after", "rule_true_probability": 0.9873158276824279, "score": 0.012684172317572129, "usage": {"cost": 5e-05, "input_tokens": 2389, "output_tokens": 0}}
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| 36 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:dependencytrack__dependency-track-2030:266300c4d70f", "role": "before", "rule_true_probability": 0.007481432983497122, "score": 0.9925185670165029, "usage": {"cost": 4.9e-05, "input_tokens": 2351, "output_tokens": 0}}
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| 37 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:dotnet-script__dotnet-script-762:2906c196f88d", "role": "after", "rule_true_probability": 0.8272379746093274, "score": 0.17276202539067265, "usage": {"cost": 2.3e-05, "input_tokens": 1119, "output_tokens": 0}}
|
| 38 |
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{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:cloudspannerecosystem__harbourbridge-42:68765060916d", "role": "before", "rule_true_probability": 0.3853068816130437, "score": 0.6146931183869563, "usage": {"cost": 0.000168, "input_tokens": 8009, "output_tokens": 0}}
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| 39 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:e2niee__pandapower-2017:41265c598a15", "role": "before", "rule_true_probability": 0.8534133305979225, "score": 0.14658666940207754, "usage": {"cost": 1.1e-05, "input_tokens": 510, "output_tokens": 0}}
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| 40 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:dvanoni__notero-608:9b62d028fce0", "role": "before", "rule_true_probability": 0.9936458501535941, "score": 0.006354149846405921, "usage": {"cost": 4.3e-05, "input_tokens": 2071, "output_tokens": 0}}
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| 41 |
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{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:cqfn__diktat-1098:d9cd81aae67b", "role": "before", "rule_true_probability": 0.4051586441080014, "score": 0.5948413558919986, "usage": {"cost": 1.9e-05, "input_tokens": 895, "output_tokens": 0}}
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| 42 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:cobalt-org__liquid-rust-404:b1a06d50da36", "role": "before", "rule_true_probability": 0.06592135712407148, "score": 0.9340786428759286, "usage": {"cost": 4.8e-05, "input_tokens": 2277, "output_tokens": 0}}
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| 43 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:e2niee__pandapower-2017:41265c598a15", "role": "after", "rule_true_probability": 0.9974564100613748, "score": 0.002543589938625246, "usage": {"cost": 1.1e-05, "input_tokens": 510, "output_tokens": 0}}
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| 44 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:eclipse-ee4j__yasson-510:53d7bca0dda5", "role": "before", "rule_true_probability": 0.9869262146045737, "score": 0.013073785395426252, "usage": {"cost": 2.8e-05, "input_tokens": 1350, "output_tokens": 0}}
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|
|
|
| 56 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:evant__kotlin-inject-427:15b8dc7a726a", "role": "after", "rule_true_probability": 0.9993469392346649, "score": 0.0006530607653351117, "usage": {"cost": 5.9e-05, "input_tokens": 2810, "output_tokens": 0}}
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| 57 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:evant__kotlin-inject-427:15b8dc7a726a", "role": "before", "rule_true_probability": 0.04009932813130337, "score": 0.9599006718686967, "usage": {"cost": 5.8e-05, "input_tokens": 2772, "output_tokens": 0}}
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| 58 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:fontoxml__fontoxpath-629:2ec1ef18e1c1", "role": "before", "rule_true_probability": 0.6071446582807365, "score": 0.3928553417192635, "usage": {"cost": 7.9e-05, "input_tokens": 3751, "output_tokens": 0}}
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| 59 |
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{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:getsentry__sentry-rust-846:ca3774c995f9", "role": "before", "rule_true_probability": 0.3353533961021985, "score": 0.6646466038978015, "usage": {"cost": 5.9e-05, "input_tokens": 2812, "output_tokens": 0}}
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| 60 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:getsentry__sentry-rust-846:ca3774c995f9", "role": "after", "rule_true_probability": 0.985069141213037, "score": 0.014930858786962986, "usage": {"cost": 6.1e-05, "input_tokens": 2886, "output_tokens": 0}}
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| 61 |
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| 62 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:getslash__slash-1035:8b461bfb87cf", "role": "before", "rule_true_probability": 0.020444809971691978, "score": 0.979555190028308, "usage": {"cost": 1.6e-05, "input_tokens": 757, "output_tokens": 0}}
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| 63 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:go-kit__kit-974:f1b8a4c5cb1b", "role": "after", "rule_true_probability": 0.9979125203583975, "score": 0.0020874796416024965, "usage": {"cost": 1.4e-05, "input_tokens": 670, "output_tokens": 0}}
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| 64 |
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{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:go-kit__kit-974:f1b8a4c5cb1b", "role": "before", "rule_true_probability": 0.4461647715908473, "score": 0.5538352284091528, "usage": {"cost": 1.5e-05, "input_tokens": 692, "output_tokens": 0}}
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| 65 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:go-co-op__gocron-809:fc41814bae65", "role": "after", "rule_true_probability": 0.83713970936715, "score": 0.16286029063285, "usage": {"cost": 0.000136, "input_tokens": 6494, "output_tokens": 0}}
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| 66 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:go-co-op__gocron-809:fc41814bae65", "role": "before", "rule_true_probability": 0.08938284897138891, "score": 0.9106171510286111, "usage": {"cost": 0.000137, "input_tokens": 6501, "output_tokens": 0}}
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| 67 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:google__wire-220:5cae5f9c28ec", "role": "after", "rule_true_probability": 0.6964025071540358, "score": 0.30359749284596416, "usage": {"cost": 0.000127, "input_tokens": 6050, "output_tokens": 0}}
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| 71 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:gradleup__shadow-1177:8b7e9cd38797", "role": "after", "rule_true_probability": 0.8372494091251527, "score": 0.16275059087484733, "usage": {"cost": 3.5e-05, "input_tokens": 1648, "output_tokens": 0}}
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{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:hairyhenderson__gomplate-2284:ebdc97ff3e7f", "role": "before", "rule_true_probability": 0.3545338874066628, "score": 0.6454661125933372, "usage": {"cost": 0.000243, "input_tokens": 11583, "output_tokens": 0}}
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{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:iamconsortium__pyam-261:bd4ecf7297cd", "role": "before", "rule_true_probability": 0.07144580173145185, "score": 0.9285541982685481, "usage": {"cost": 0.000125, "input_tokens": 5954, "output_tokens": 0}}
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{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:kelektiv__node-cron-924:2a70d468ee9d", "role": "before", "rule_true_probability": 0.9893554284111249, "score": 0.010644571588875107, "usage": {"cost": 6e-05, "input_tokens": 2869, "output_tokens": 0}}
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{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:kotlin__binary-compatibility-validator-247:c70a9ee1f553", "role": "after", "rule_true_probability": 0.9901152006859779, "score": 0.009884799314022086, "usage": {"cost": 1.7e-05, "input_tokens": 787, "output_tokens": 0}}
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| 84 |
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{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:laravel__framework-44473:f3ec5b6e1165", "role": "before", "rule_true_probability": 0.47052942282722926, "score": 0.5294705771727708, "usage": {"cost": 9e-06, "input_tokens": 421, "output_tokens": 0}}
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{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:kotlin__binary-compatibility-validator-247:c70a9ee1f553", "role": "before", "rule_true_probability": 0.0021495094930281313, "score": 0.9978504905069718, "usage": {"cost": 1.6e-05, "input_tokens": 772, "output_tokens": 0}}
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{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:humbug__php-scoper-830:d9d374afe8b3", "role": "before", "rule_true_probability": 0.009458762365010427, "score": 0.9905412376349896, "usage": {"cost": 2.9e-05, "input_tokens": 1365, "output_tokens": 0}}
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| 90 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "swe-rebench:humbug__php-scoper-830:d9d374afe8b3", "role": "after", "rule_true_probability": 0.9902969685814238, "score": 0.009703031418576202, "usage": {"cost": 3e-05, "input_tokens": 1423, "output_tokens": 0}}
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| 115 |
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| 349 |
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| 373 |
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| 379 |
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| 386 |
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| 388 |
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|
| 390 |
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| 391 |
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| 392 |
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|
|
|
|
| 419 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "github-advisory:cyberdrop-dl/cyberdrop-dl:4479555ae3f9d56d7657d6179a5bac3123eb4e2b:ef42a181abe3", "role": "before", "rule_true_probability": 0.01476580808617744, "score": 0.9852341919138226, "usage": {"cost": 4.7e-05, "input_tokens": 2215, "output_tokens": 0}}
|
| 420 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "github-advisory:comfy-org/comfyui-manager:ef8703a3d7ab4e6ecda8f96e0c5816c23d1cb262:05f1045df598", "role": "after", "rule_true_probability": 0.9981910879290085, "score": 0.0018089120709915418, "usage": {"cost": 5.8e-05, "input_tokens": 2765, "output_tokens": 0}}
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| 421 |
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|
| 422 |
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{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "native-cwe120-exp-v1:7e7983a281c8561a", "role": "before", "rule_true_probability": 0.4501355996081274, "score": 0.5498644003918727, "usage": {"cost": 6.2e-05, "input_tokens": 2961, "output_tokens": 0}}
|
| 423 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "native-cwe120-v2:case_db3d8def02599df0", "role": "after", "rule_true_probability": 0.9968136850298852, "score": 0.0031863149701147897, "usage": {"cost": 9e-06, "input_tokens": 414, "output_tokens": 0}}
|
| 424 |
{"alert": false, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "zephyrproject-rtos_zephyr__8dc7a37bc754__z_vrfy_k_poll", "role": "before", "rule_true_probability": 0.9867850892143831, "score": 0.013214910785616873, "usage": {"cost": 4.1e-05, "input_tokens": 1965, "output_tokens": 0}}
|
| 425 |
{"alert": true, "domain": "lint", "model_id": "diffusiongemma", "pair_id": "native-cwe120-v2:case_db3d8def02599df0", "role": "before", "rule_true_probability": 0.08302506378770091, "score": 0.9169749362122991, "usage": {"cost": 8e-06, "input_tokens": 380, "output_tokens": 0}}
|
predictions/current/lint/jev.jsonl
CHANGED
|
@@ -4,17 +4,17 @@
|
|
| 4 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "github-pr:rack/rack#2270", "role": "after", "rule_true_probability": 0.76, "score": 0.24}
|
| 5 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "github-pr:rails/rails#58854", "role": "before", "rule_true_probability": 0.7, "score": 0.30000000000000004}
|
| 6 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "github-pr:rails/rails#58854", "role": "after", "rule_true_probability": 0.66, "score": 0.33999999999999997}
|
| 7 |
-
{"alert":
|
| 8 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "jsts-exp-003", "role": "after", "rule_true_probability": 0.89, "score": 0.10999999999999999}
|
| 9 |
-
{"alert":
|
| 10 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:analysis-dev__diktat-596:242162b945c0", "role": "after", "rule_true_probability": 0.8, "score": 0.19999999999999996}
|
| 11 |
-
{"alert":
|
| 12 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:analysis-dev__diktat-596:50bf988c970f", "role": "after", "rule_true_probability": 0.72, "score": 0.28}
|
| 13 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:ant-design-blazor__ant-design-blazor-4147:71d86eb8c6c7", "role": "before", "rule_true_probability": 0.23, "score": 0.77}
|
| 14 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:ant-design-blazor__ant-design-blazor-4147:71d86eb8c6c7", "role": "after", "rule_true_probability": 0.85, "score": 0.15000000000000002}
|
| 15 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:anz-bank__sysl-1020:6644005fa407", "role": "before", "rule_true_probability": 0.29, "score": 0.71}
|
| 16 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:anz-bank__sysl-1020:6644005fa407", "role": "after", "rule_true_probability": 0.72, "score": 0.28}
|
| 17 |
-
{"alert":
|
| 18 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:apache__jena-2623:7b4f03929161", "role": "after", "rule_true_probability": 0.84, "score": 0.16000000000000003}
|
| 19 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:apollographql__apollo-codegen-312:f87be2100129", "role": "before", "rule_true_probability": 0.58, "score": 0.42000000000000004}
|
| 20 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:apollographql__apollo-codegen-312:f87be2100129", "role": "after", "rule_true_probability": 0.78, "score": 0.21999999999999997}
|
|
@@ -25,18 +25,18 @@
|
|
| 25 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:bluenviron__gortsplib-446:0ef11be4bfc9", "role": "before", "rule_true_probability": 0.12, "score": 0.88}
|
| 26 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:bluenviron__gortsplib-446:0ef11be4bfc9", "role": "after", "rule_true_probability": 0.88, "score": 0.12}
|
| 27 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:btcpayserver__btcpayserver-6228:d9580301bdc1", "role": "before", "rule_true_probability": 0.1, "score": 0.9}
|
| 28 |
-
{"alert":
|
| 29 |
-
{"alert":
|
| 30 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:cloudspannerecosystem__harbourbridge-42:68765060916d", "role": "after", "rule_true_probability": 0.66, "score": 0.33999999999999997}
|
| 31 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:cobalt-org__liquid-rust-404:b1a06d50da36", "role": "before", "rule_true_probability": 0.17, "score": 0.83}
|
| 32 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:cobalt-org__liquid-rust-404:b1a06d50da36", "role": "after", "rule_true_probability": 0.88, "score": 0.12}
|
| 33 |
-
{"alert":
|
| 34 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:cqfn__diktat-1098:d9cd81aae67b", "role": "after", "rule_true_probability": 0.88, "score": 0.12}
|
| 35 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:dedoc__scramble-362:6b687a3dff51", "role": "before", "rule_true_probability": 0.08, "score": 0.92}
|
| 36 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:dedoc__scramble-362:6b687a3dff51", "role": "after", "rule_true_probability": 0.85, "score": 0.15000000000000002}
|
| 37 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:delgan__loguru-960:9985727b72ce", "role": "before", "rule_true_probability": 0.57, "score": 0.43000000000000005}
|
| 38 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:delgan__loguru-960:9985727b72ce", "role": "after", "rule_true_probability": 0.71, "score": 0.29000000000000004}
|
| 39 |
-
{"alert":
|
| 40 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:dotnet-script__dotnet-script-762:2906c196f88d", "role": "after", "rule_true_probability": 0.83, "score": 0.17000000000000004}
|
| 41 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:dvanoni__notero-608:9b62d028fce0", "role": "before", "rule_true_probability": 0.79, "score": 0.20999999999999996}
|
| 42 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:dvanoni__notero-608:9b62d028fce0", "role": "after", "rule_true_probability": 0.9, "score": 0.09999999999999998}
|
|
@@ -48,21 +48,21 @@
|
|
| 48 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:effekt-lang__effekt-1043:03bdd684f0ef", "role": "after", "rule_true_probability": 0.77, "score": 0.22999999999999998}
|
| 49 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:evant__kotlin-inject-427:15b8dc7a726a", "role": "before", "rule_true_probability": 0.69, "score": 0.31000000000000005}
|
| 50 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:evant__kotlin-inject-427:15b8dc7a726a", "role": "after", "rule_true_probability": 0.92, "score": 0.07999999999999996}
|
| 51 |
-
{"alert":
|
| 52 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:getsentry__sentry-rust-846:ca3774c995f9", "role": "after", "rule_true_probability": 0.82, "score": 0.18000000000000005}
|
| 53 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:getslash__slash-1035:8b461bfb87cf", "role": "before", "rule_true_probability": 0.25, "score": 0.75}
|
| 54 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:getslash__slash-1035:8b461bfb87cf", "role": "after", "rule_true_probability": 0.86, "score": 0.14}
|
| 55 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:go-co-op__gocron-809:fc41814bae65", "role": "before", "rule_true_probability": 0.24, "score": 0.76}
|
| 56 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:go-co-op__gocron-809:fc41814bae65", "role": "after", "rule_true_probability": 0.81, "score": 0.18999999999999995}
|
| 57 |
-
{"alert":
|
| 58 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:go-kit__kit-974:f1b8a4c5cb1b", "role": "after", "rule_true_probability": 0.83, "score": 0.17000000000000004}
|
| 59 |
-
{"alert":
|
| 60 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:google__wire-220:5cae5f9c28ec", "role": "after", "rule_true_probability": 0.74, "score": 0.26}
|
| 61 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:googleapis__google-http-java-client-1423:f20671cdd5d7", "role": "before", "rule_true_probability": 0.06, "score": 0.94}
|
| 62 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:googleapis__google-http-java-client-1423:f20671cdd5d7", "role": "after", "rule_true_probability": 0.92, "score": 0.07999999999999996}
|
| 63 |
-
{"alert":
|
| 64 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:gradleup__shadow-1177:8b7e9cd38797", "role": "after", "rule_true_probability": 0.9, "score": 0.09999999999999998}
|
| 65 |
-
{"alert":
|
| 66 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:hairyhenderson__gomplate-2284:ebdc97ff3e7f", "role": "after", "rule_true_probability": 0.65, "score": 0.35}
|
| 67 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:horstoeko__zugferd-209:960e5de983ec", "role": "before", "rule_true_probability": 0.11, "score": 0.89}
|
| 68 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:horstoeko__zugferd-209:960e5de983ec", "role": "after", "rule_true_probability": 0.85, "score": 0.15000000000000002}
|
|
@@ -72,13 +72,13 @@
|
|
| 72 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:humbug__php-scoper-830:d9d374afe8b3", "role": "after", "rule_true_probability": 0.93, "score": 0.06999999999999995}
|
| 73 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:iamconsortium__pyam-261:bd4ecf7297cd", "role": "before", "rule_true_probability": 0.24, "score": 0.76}
|
| 74 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:iamconsortium__pyam-261:bd4ecf7297cd", "role": "after", "rule_true_probability": 0.86, "score": 0.14}
|
| 75 |
-
{"alert":
|
| 76 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:kelektiv__node-cron-924:2a70d468ee9d", "role": "after", "rule_true_probability": 0.84, "score": 0.16000000000000003}
|
| 77 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:kotlin__binary-compatibility-validator-247:c70a9ee1f553", "role": "before", "rule_true_probability": 0.11, "score": 0.89}
|
| 78 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:kotlin__binary-compatibility-validator-247:c70a9ee1f553", "role": "after", "rule_true_probability": 0.87, "score": 0.13}
|
| 79 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:laravel__framework-44473:f3ec5b6e1165", "role": "before", "rule_true_probability": 0.19, "score": 0.81}
|
| 80 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:laravel__framework-44473:f3ec5b6e1165", "role": "after", "rule_true_probability": 0.77, "score": 0.22999999999999998}
|
| 81 |
-
{"alert":
|
| 82 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:luin__ioredis-314:ad3587aca9d9", "role": "after", "rule_true_probability": 0.69, "score": 0.31000000000000005}
|
| 83 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:mathnet__mathnet-numerics-1072:6f9a061dc82e", "role": "before", "rule_true_probability": 0.18, "score": 0.8200000000000001}
|
| 84 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:mathnet__mathnet-numerics-1072:6f9a061dc82e", "role": "after", "rule_true_probability": 0.94, "score": 0.06000000000000005}
|
|
@@ -92,7 +92,7 @@
|
|
| 92 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:mswjs__msw-2509:0a28baf66879", "role": "after", "rule_true_probability": 0.67, "score": 0.32999999999999996}
|
| 93 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:nestjs__swagger-582:5c8a3f37a755", "role": "before", "rule_true_probability": 0.51, "score": 0.49}
|
| 94 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:nestjs__swagger-582:5c8a3f37a755", "role": "after", "rule_true_probability": 0.77, "score": 0.22999999999999998}
|
| 95 |
-
{"alert":
|
| 96 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:netease__arctic-1752:158f8a1a4267", "role": "after", "rule_true_probability": 0.77, "score": 0.22999999999999998}
|
| 97 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:netease__arctic-1752:cf18c016d05a", "role": "before", "rule_true_probability": 0.25, "score": 0.75}
|
| 98 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:netease__arctic-1752:cf18c016d05a", "role": "after", "rule_true_probability": 0.84, "score": 0.16000000000000003}
|
|
@@ -102,21 +102,21 @@
|
|
| 102 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:node-fetch__node-fetch-1542:f2790f15f082", "role": "after", "rule_true_probability": 0.83, "score": 0.17000000000000004}
|
| 103 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:nvim-lua__plenary.nvim-251:c9a5c5992ad9", "role": "before", "rule_true_probability": 0.54, "score": 0.45999999999999996}
|
| 104 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:nvim-lua__plenary.nvim-251:c9a5c5992ad9", "role": "after", "rule_true_probability": 0.71, "score": 0.29000000000000004}
|
| 105 |
-
{"alert":
|
| 106 |
-
{"alert":
|
| 107 |
-
{"alert":
|
| 108 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:nvim-lualine__lualine.nvim-836:c7d0510d972d", "role": "after", "rule_true_probability": 0.68, "score": 0.31999999999999995}
|
| 109 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:ordinals__ord-3656:161802c618e1", "role": "before", "rule_true_probability": 0.14, "score": 0.86}
|
| 110 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:ordinals__ord-3656:161802c618e1", "role": "after", "rule_true_probability": 0.92, "score": 0.07999999999999996}
|
| 111 |
-
{"alert":
|
| 112 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:perry-mitchell__webdav-client-364:abffc913396b", "role": "after", "rule_true_probability": 0.59, "score": 0.41000000000000003}
|
| 113 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:phpbench__phpbench-1010:66167d4c4b97", "role": "before", "rule_true_probability": 0.26, "score": 0.74}
|
| 114 |
-
{"alert":
|
| 115 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:phpstan__phpstan-doctrine-260:db939b50f4c9", "role": "before", "rule_true_probability": 0.6, "score": 0.4}
|
| 116 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:phpstan__phpstan-doctrine-260:db939b50f4c9", "role": "after", "rule_true_probability": 0.88, "score": 0.12}
|
| 117 |
-
{"alert":
|
| 118 |
-
{"alert":
|
| 119 |
-
{"alert":
|
| 120 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:probe-rs__probe-rs-3310:7fe8a7a2703d", "role": "after", "rule_true_probability": 0.84, "score": 0.16000000000000003}
|
| 121 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:projectdiscovery__httpx-1009:79b46a1527a0", "role": "before", "rule_true_probability": 0.21, "score": 0.79}
|
| 122 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:projectdiscovery__httpx-1009:79b46a1527a0", "role": "after", "rule_true_probability": 0.83, "score": 0.17000000000000004}
|
|
@@ -137,8 +137,8 @@
|
|
| 137 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:ron-rs__ron-103:7fb1ea75a233", "role": "before", "rule_true_probability": 0.18, "score": 0.8200000000000001}
|
| 138 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:ron-rs__ron-103:7fb1ea75a233", "role": "after", "rule_true_probability": 0.93, "score": 0.06999999999999995}
|
| 139 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:rust-lang__rust-analyzer-19137:1c3cf82f5817", "role": "before", "rule_true_probability": 0.15, "score": 0.85}
|
| 140 |
-
{"alert":
|
| 141 |
-
{"alert":
|
| 142 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:rustcrypto__formats-1126:148c14b0cd1b", "role": "after", "rule_true_probability": 0.82, "score": 0.18000000000000005}
|
| 143 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:rustwasm__wasm-pack-205:03a77f39c418", "role": "before", "rule_true_probability": 0.1, "score": 0.9}
|
| 144 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:rustwasm__wasm-pack-205:03a77f39c418", "role": "after", "rule_true_probability": 0.91, "score": 0.08999999999999997}
|
|
@@ -152,7 +152,7 @@
|
|
| 152 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:sfdo-tooling__cumulusci-3645:357c79c876ed", "role": "after", "rule_true_probability": 0.91, "score": 0.08999999999999997}
|
| 153 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:shapesecurity__salvation-141:d63b5544697a", "role": "before", "rule_true_probability": 0.14, "score": 0.86}
|
| 154 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:shapesecurity__salvation-141:d63b5544697a", "role": "after", "rule_true_probability": 0.86, "score": 0.14}
|
| 155 |
-
{"alert":
|
| 156 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:shepmaster__snafu-143:d3230d8f455b", "role": "after", "rule_true_probability": 0.91, "score": 0.08999999999999997}
|
| 157 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:sigoden__dufs-437:eb5d23c13483", "role": "before", "rule_true_probability": 0.76, "score": 0.24}
|
| 158 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:sigoden__dufs-437:eb5d23c13483", "role": "after", "rule_true_probability": 0.71, "score": 0.29000000000000004}
|
|
@@ -160,7 +160,7 @@
|
|
| 160 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:source-academy__js-slang-125:e581a114993a", "role": "after", "rule_true_probability": 0.76, "score": 0.24}
|
| 161 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:sparkpost__node-sparkpost-148:9b82b23c5628", "role": "before", "rule_true_probability": 0.8, "score": 0.19999999999999996}
|
| 162 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:sparkpost__node-sparkpost-148:9b82b23c5628", "role": "after", "rule_true_probability": 0.87, "score": 0.13}
|
| 163 |
-
{"alert":
|
| 164 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:spatie__laravel-permission-2759:0a794d159955", "role": "after", "rule_true_probability": 0.52, "score": 0.48}
|
| 165 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:sse-secure-systems__connaisseur-1714:603b4aed2aba", "role": "before", "rule_true_probability": 0.27, "score": 0.73}
|
| 166 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:sse-secure-systems__connaisseur-1714:603b4aed2aba", "role": "after", "rule_true_probability": 0.8, "score": 0.19999999999999996}
|
|
@@ -176,9 +176,9 @@
|
|
| 176 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:theupdateframework__python-tuf-2632:f55fec958234", "role": "after", "rule_true_probability": 0.7, "score": 0.30000000000000004}
|
| 177 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:tighten__tlint-286:9a19f4bedfd0", "role": "before", "rule_true_probability": 0.58, "score": 0.42000000000000004}
|
| 178 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:tighten__tlint-286:9a19f4bedfd0", "role": "after", "rule_true_probability": 0.81, "score": 0.18999999999999995}
|
| 179 |
-
{"alert":
|
| 180 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:tipsy__javalin-2004:e5da1b6ea580", "role": "after", "rule_true_probability": 0.84, "score": 0.16000000000000003}
|
| 181 |
-
{"alert":
|
| 182 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:tomarrell__lbadd-65:c42e988fea98", "role": "after", "rule_true_probability": 0.92, "score": 0.07999999999999996}
|
| 183 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:typelevel__fs2-2968:9d1dc3f0f81c", "role": "before", "rule_true_probability": 0.67, "score": 0.32999999999999996}
|
| 184 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:typelevel__fs2-2968:9d1dc3f0f81c", "role": "after", "rule_true_probability": 0.84, "score": 0.16000000000000003}
|
|
@@ -190,13 +190,13 @@
|
|
| 190 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:victoriametrics__victoriametrics-8938:26e3b88f3a9f", "role": "after", "rule_true_probability": 0.92, "score": 0.07999999999999996}
|
| 191 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:w3c__epubcheck-1581:603cbbb78385", "role": "before", "rule_true_probability": 0.15, "score": 0.85}
|
| 192 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:w3c__epubcheck-1581:603cbbb78385", "role": "after", "rule_true_probability": 0.9, "score": 0.09999999999999998}
|
| 193 |
-
{"alert":
|
| 194 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:wakujs__waku-1427:0084a534a10e", "role": "after", "rule_true_probability": 0.67, "score": 0.32999999999999996}
|
| 195 |
-
{"alert":
|
| 196 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:zalando__zappr-527:43f64f7a8ce9", "role": "after", "rule_true_probability": 0.74, "score": 0.26}
|
| 197 |
-
{"alert":
|
| 198 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:zeek__zeek-4539:eea68e10da4e", "role": "after", "rule_true_probability": 0.55, "score": 0.44999999999999996}
|
| 199 |
-
{"alert":
|
| 200 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swebench-v1:0053ba0bea69d64aeac46c41", "role": "after", "rule_true_probability": 0.83, "score": 0.17000000000000004}
|
| 201 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swebench-v1:00c5585a178df99584bd4747", "role": "before", "rule_true_probability": 0.51, "score": 0.49}
|
| 202 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swebench-v1:00c5585a178df99584bd4747", "role": "after", "rule_true_probability": 0.79, "score": 0.20999999999999996}
|
|
@@ -208,7 +208,7 @@
|
|
| 208 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swebench-v1:093131facc1e2d9906306d40", "role": "after", "rule_true_probability": 0.69, "score": 0.31000000000000005}
|
| 209 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swebench-v1:0b73bcf7df96912684182e31", "role": "before", "rule_true_probability": 0.87, "score": 0.13}
|
| 210 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swebench-v1:0b73bcf7df96912684182e31", "role": "after", "rule_true_probability": 0.89, "score": 0.10999999999999999}
|
| 211 |
-
{"alert":
|
| 212 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swebench-v1:0cab6a9599fe267fb21556fe", "role": "after", "rule_true_probability": 0.86, "score": 0.14}
|
| 213 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swebench-v1:705f40131fe6cebfed699207", "role": "before", "rule_true_probability": 0.84, "score": 0.16000000000000003}
|
| 214 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swebench-v1:705f40131fe6cebfed699207", "role": "after", "rule_true_probability": 0.88, "score": 0.12}
|
|
@@ -218,7 +218,7 @@
|
|
| 218 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "015d5e44896fe6018e25e0ea", "role": "after", "rule_true_probability": 0.84, "score": 0.16000000000000003}
|
| 219 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "0fdf03c6c5e3da1ab02991a9", "role": "before", "rule_true_probability": 0.16, "score": 0.84}
|
| 220 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "0fdf03c6c5e3da1ab02991a9", "role": "after", "rule_true_probability": 0.82, "score": 0.18000000000000005}
|
| 221 |
-
{"alert":
|
| 222 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "105fe03be99c099cbfa5eed5", "role": "after", "rule_true_probability": 0.74, "score": 0.26}
|
| 223 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "1af8d68290cf1ea185eb1c99", "role": "before", "rule_true_probability": 0.67, "score": 0.32999999999999996}
|
| 224 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "1af8d68290cf1ea185eb1c99", "role": "after", "rule_true_probability": 0.77, "score": 0.22999999999999998}
|
|
@@ -226,7 +226,7 @@
|
|
| 226 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "c3530210bb0961ed1d266c50", "role": "after", "rule_true_probability": 0.87, "score": 0.13}
|
| 227 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "de6dbd793488a59c1a32387e", "role": "before", "rule_true_probability": 0.6, "score": 0.4}
|
| 228 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "de6dbd793488a59c1a32387e", "role": "after", "rule_true_probability": 0.65, "score": 0.35}
|
| 229 |
-
{"alert":
|
| 230 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "fd45265c79745554ce66fbf1", "role": "after", "rule_true_probability": 0.29, "score": 0.71}
|
| 231 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "gapauth:1c37df75769d5e55b7c8d7d3", "role": "before", "rule_true_probability": 0.16, "score": 0.84}
|
| 232 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "gapauth:1c37df75769d5e55b7c8d7d3", "role": "after", "rule_true_probability": 0.88, "score": 0.12}
|
|
@@ -236,7 +236,7 @@
|
|
| 236 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "gapauth:d0fea8de8d2ee566df24f8db", "role": "after", "rule_true_probability": 0.9, "score": 0.09999999999999998}
|
| 237 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "gapauth:d732e61fc21036115b3665ca", "role": "before", "rule_true_probability": 0.14, "score": 0.86}
|
| 238 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "gapauth:d732e61fc21036115b3665ca", "role": "after", "rule_true_probability": 0.76, "score": 0.24}
|
| 239 |
-
{"alert":
|
| 240 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:025b0b29906e75b79b3a57d2", "role": "after", "rule_true_probability": 0.83, "score": 0.17000000000000004}
|
| 241 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:02aca0684267aaa581ae0d5f", "role": "before", "rule_true_probability": 0.06, "score": 0.94}
|
| 242 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:02aca0684267aaa581ae0d5f", "role": "after", "rule_true_probability": 0.56, "score": 0.43999999999999995}
|
|
@@ -244,17 +244,17 @@
|
|
| 244 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:0a9e7b338fb1f2618b4f879f", "role": "after", "rule_true_probability": 0.68, "score": 0.31999999999999995}
|
| 245 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:149563bff3bfcce6172d951d", "role": "before", "rule_true_probability": 0.1, "score": 0.9}
|
| 246 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:149563bff3bfcce6172d951d", "role": "after", "rule_true_probability": 0.83, "score": 0.17000000000000004}
|
| 247 |
-
{"alert":
|
| 248 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:189c9212337aac1cf2b55bd5", "role": "after", "rule_true_probability": 0.78, "score": 0.21999999999999997}
|
| 249 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:1c880146e3a1f3767cac6500", "role": "before", "rule_true_probability": 0.17, "score": 0.83}
|
| 250 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:1c880146e3a1f3767cac6500", "role": "after", "rule_true_probability": 0.78, "score": 0.21999999999999997}
|
| 251 |
-
{"alert":
|
| 252 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:1f34506b6088e0f0f5dbf553", "role": "after", "rule_true_probability": 0.86, "score": 0.14}
|
| 253 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:2125022c1c24a261e89127dc", "role": "before", "rule_true_probability": 0.12, "score": 0.88}
|
| 254 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:2125022c1c24a261e89127dc", "role": "after", "rule_true_probability": 0.87, "score": 0.13}
|
| 255 |
-
{"alert":
|
| 256 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:21727757de29fa293f1a79c1", "role": "after", "rule_true_probability": 0.89, "score": 0.10999999999999999}
|
| 257 |
-
{"alert":
|
| 258 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:22286664348a2ee641b6c953", "role": "after", "rule_true_probability": 0.81, "score": 0.18999999999999995}
|
| 259 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:24123a111d27864a18e02e3a", "role": "before", "rule_true_probability": 0.05, "score": 0.95}
|
| 260 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:24123a111d27864a18e02e3a", "role": "after", "rule_true_probability": 0.93, "score": 0.06999999999999995}
|
|
@@ -274,11 +274,11 @@
|
|
| 274 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:3b6ad210c235ccabc24468e3", "role": "after", "rule_true_probability": 0.86, "score": 0.14}
|
| 275 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:479f16a251872b6ab0982a43", "role": "before", "rule_true_probability": 0.12, "score": 0.88}
|
| 276 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:479f16a251872b6ab0982a43", "role": "after", "rule_true_probability": 0.84, "score": 0.16000000000000003}
|
| 277 |
-
{"alert":
|
| 278 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:4d0c3da9a47fc7e9779582b0", "role": "after", "rule_true_probability": 0.61, "score": 0.39}
|
| 279 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:52b5cf177cadb146b8daa36b", "role": "before", "rule_true_probability": 0.73, "score": 0.27}
|
| 280 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:52b5cf177cadb146b8daa36b", "role": "after", "rule_true_probability": 0.77, "score": 0.22999999999999998}
|
| 281 |
-
{"alert":
|
| 282 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:537d2b1b0e908082babbe75c", "role": "after", "rule_true_probability": 0.92, "score": 0.07999999999999996}
|
| 283 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:55d3ea39b7c4c21be516cc4d", "role": "before", "rule_true_probability": 0.11, "score": 0.89}
|
| 284 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:55d3ea39b7c4c21be516cc4d", "role": "after", "rule_true_probability": 0.58, "score": 0.42000000000000004}
|
|
@@ -286,7 +286,7 @@
|
|
| 286 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:5ab3a50a4501254ea39bc428", "role": "after", "rule_true_probability": 0.83, "score": 0.17000000000000004}
|
| 287 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:64ca8a28abd5e3fb66e9bb8d", "role": "before", "rule_true_probability": 0.18, "score": 0.8200000000000001}
|
| 288 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:64ca8a28abd5e3fb66e9bb8d", "role": "after", "rule_true_probability": 0.89, "score": 0.10999999999999999}
|
| 289 |
-
{"alert":
|
| 290 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:6503fb5ce44056fde3777ffc", "role": "after", "rule_true_probability": 0.84, "score": 0.16000000000000003}
|
| 291 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:6baeaffaacf229dda1ca60f0", "role": "before", "rule_true_probability": 0.18, "score": 0.8200000000000001}
|
| 292 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:6baeaffaacf229dda1ca60f0", "role": "after", "rule_true_probability": 0.56, "score": 0.43999999999999995}
|
|
@@ -302,7 +302,7 @@
|
|
| 302 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:7dee3137055aa9e823829647", "role": "after", "rule_true_probability": 0.59, "score": 0.41000000000000003}
|
| 303 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:8446168bf41b9c2936528f51", "role": "before", "rule_true_probability": 0.25, "score": 0.75}
|
| 304 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:8446168bf41b9c2936528f51", "role": "after", "rule_true_probability": 0.89, "score": 0.10999999999999999}
|
| 305 |
-
{"alert":
|
| 306 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:853d03fb8eea7fe81e546c6e", "role": "after", "rule_true_probability": 0.63, "score": 0.37}
|
| 307 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:8572f56d6cdbc847a472a123", "role": "before", "rule_true_probability": 0.07, "score": 0.9299999999999999}
|
| 308 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:8572f56d6cdbc847a472a123", "role": "after", "rule_true_probability": 0.95, "score": 0.050000000000000044}
|
|
@@ -313,18 +313,18 @@
|
|
| 313 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:8e41abeb5dfbb5fbfbfd18a1", "role": "before", "rule_true_probability": 0.19, "score": 0.81}
|
| 314 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:8e41abeb5dfbb5fbfbfd18a1", "role": "after", "rule_true_probability": 0.89, "score": 0.10999999999999999}
|
| 315 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:978ea1cc1f86dfa20f529df6", "role": "before", "rule_true_probability": 0.11, "score": 0.89}
|
| 316 |
-
{"alert":
|
| 317 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:a16f77bf17ede97261b87bd0", "role": "before", "rule_true_probability": 0.16, "score": 0.84}
|
| 318 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:a16f77bf17ede97261b87bd0", "role": "after", "rule_true_probability": 0.85, "score": 0.15000000000000002}
|
| 319 |
-
{"alert":
|
| 320 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:a4f267d12323e06ea009f241", "role": "after", "rule_true_probability": 0.82, "score": 0.18000000000000005}
|
| 321 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:a5d83bcc1dbef43ed2722b70", "role": "before", "rule_true_probability": 0.21, "score": 0.79}
|
| 322 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:a5d83bcc1dbef43ed2722b70", "role": "after", "rule_true_probability": 0.84, "score": 0.16000000000000003}
|
| 323 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:a761ce4ae7ae189547d8c004", "role": "before", "rule_true_probability": 0.12, "score": 0.88}
|
| 324 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:a761ce4ae7ae189547d8c004", "role": "after", "rule_true_probability": 0.72, "score": 0.28}
|
| 325 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:aa2346712c7603768551db1e", "role": "before", "rule_true_probability": 0.06, "score": 0.94}
|
| 326 |
-
{"alert":
|
| 327 |
-
{"alert":
|
| 328 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:ad6059f12aec5c5d309a0af9", "role": "after", "rule_true_probability": 0.59, "score": 0.41000000000000003}
|
| 329 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:ae2f49117b365ba717a08353", "role": "before", "rule_true_probability": 0.52, "score": 0.48}
|
| 330 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:ae2f49117b365ba717a08353", "role": "after", "rule_true_probability": 0.87, "score": 0.13}
|
|
@@ -342,25 +342,25 @@
|
|
| 342 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:cebf0d41b8f98b84c982fd14", "role": "after", "rule_true_probability": 0.8, "score": 0.19999999999999996}
|
| 343 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:cef96e3ae4ccb8ce0edbf8d1", "role": "before", "rule_true_probability": 0.16, "score": 0.84}
|
| 344 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:cef96e3ae4ccb8ce0edbf8d1", "role": "after", "rule_true_probability": 0.9, "score": 0.09999999999999998}
|
| 345 |
-
{"alert":
|
| 346 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:d1d2f439777486d638dc1dca", "role": "after", "rule_true_probability": 0.9, "score": 0.09999999999999998}
|
| 347 |
-
{"alert":
|
| 348 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:d378dc4c30412a2d7357658c", "role": "after", "rule_true_probability": 0.79, "score": 0.20999999999999996}
|
| 349 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:d9d3d676a03eab373ba1f482", "role": "before", "rule_true_probability": 0.17, "score": 0.83}
|
| 350 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:d9d3d676a03eab373ba1f482", "role": "after", "rule_true_probability": 0.92, "score": 0.07999999999999996}
|
| 351 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:e5d1aae995e5b64c8ce0dfa9", "role": "before", "rule_true_probability": 0.26, "score": 0.74}
|
| 352 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:e5d1aae995e5b64c8ce0dfa9", "role": "after", "rule_true_probability": 0.83, "score": 0.17000000000000004}
|
| 353 |
-
{"alert":
|
| 354 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:eaa78aace8fc0f77f5bf88e2", "role": "after", "rule_true_probability": 0.74, "score": 0.26}
|
| 355 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:f086c7863961e3264025b7d4", "role": "before", "rule_true_probability": 0.13, "score": 0.87}
|
| 356 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:f086c7863961e3264025b7d4", "role": "after", "rule_true_probability": 0.89, "score": 0.10999999999999999}
|
| 357 |
-
{"alert":
|
| 358 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:f22168ed2c8ed6c70404608e", "role": "after", "rule_true_probability": 0.77, "score": 0.22999999999999998}
|
| 359 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:f3110d2507dafa395fdf4e0c", "role": "before", "rule_true_probability": 0.61, "score": 0.39}
|
| 360 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:f3110d2507dafa395fdf4e0c", "role": "after", "rule_true_probability": 0.85, "score": 0.15000000000000002}
|
| 361 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:f71ec84d46d4b0dad9776e8e", "role": "before", "rule_true_probability": 0.1, "score": 0.9}
|
| 362 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:f71ec84d46d4b0dad9776e8e", "role": "after", "rule_true_probability": 0.73, "score": 0.27}
|
| 363 |
-
{"alert":
|
| 364 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:fb4c62a5fe82552aaed01d9f", "role": "after", "rule_true_probability": 0.58, "score": 0.42000000000000004}
|
| 365 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:fbfa7dede0914f37a0b85b88", "role": "before", "rule_true_probability": 0.09, "score": 0.91}
|
| 366 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:fbfa7dede0914f37a0b85b88", "role": "after", "rule_true_probability": 0.88, "score": 0.12}
|
|
@@ -370,7 +370,7 @@
|
|
| 370 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "github-advisory:aio-libs/aiohttp:0ae2aa076c84573df83fc1fdc39eec0f5862fe3d:54c46b33aaf4", "role": "after", "rule_true_probability": 0.88, "score": 0.12}
|
| 371 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "github-advisory:altcha-org/altcha-lib-php:9e9e70c864a9db960d071c77c778be0c9ff1a4d0:e77a3026cc9f", "role": "before", "rule_true_probability": 0.57, "score": 0.43000000000000005}
|
| 372 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "github-advisory:altcha-org/altcha-lib-php:9e9e70c864a9db960d071c77c778be0c9ff1a4d0:e77a3026cc9f", "role": "after", "rule_true_probability": 0.61, "score": 0.39}
|
| 373 |
-
{"alert":
|
| 374 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "github-advisory:altcha-org/altcha-lib-rb:4fd7b64cbbfc713f3ca4e066c2dd466e3b8d359b:722bfb34f94c", "role": "after", "rule_true_probability": 0.83, "score": 0.17000000000000004}
|
| 375 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "github-advisory:altcha-org/altcha-lib:cb95d83a8d08e273b6be15e48988e7eaf60d5c08:70369c7907dc", "role": "before", "rule_true_probability": 0.7, "score": 0.30000000000000004}
|
| 376 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "github-advisory:altcha-org/altcha-lib:cb95d83a8d08e273b6be15e48988e7eaf60d5c08:70369c7907dc", "role": "after", "rule_true_probability": 0.67, "score": 0.32999999999999996}
|
|
@@ -392,19 +392,19 @@
|
|
| 392 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "github-advisory:clinical-genomics/cg:96e6a968a5a3639cc40ad251ad65952e4f38dd25:ba5553cf98e6", "role": "after", "rule_true_probability": 0.85, "score": 0.15000000000000002}
|
| 393 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "github-advisory:comfy-org/comfyui-manager:ef8703a3d7ab4e6ecda8f96e0c5816c23d1cb262:05f1045df598", "role": "before", "rule_true_probability": 0.23, "score": 0.77}
|
| 394 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "github-advisory:comfy-org/comfyui-manager:ef8703a3d7ab4e6ecda8f96e0c5816c23d1cb262:05f1045df598", "role": "after", "rule_true_probability": 0.89, "score": 0.10999999999999999}
|
| 395 |
-
{"alert":
|
| 396 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "github-advisory:cyberdrop-dl/cyberdrop-dl:4479555ae3f9d56d7657d6179a5bac3123eb4e2b:ef42a181abe3", "role": "after", "rule_true_probability": 0.88, "score": 0.12}
|
| 397 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "github-advisory:django-helpdesk/django-helpdesk:04483bdac3b5196737516398b5ce0383875a5c60:1e6c19853273", "role": "before", "rule_true_probability": 0.25, "score": 0.75}
|
| 398 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "github-advisory:django-helpdesk/django-helpdesk:04483bdac3b5196737516398b5ce0383875a5c60:1e6c19853273", "role": "after", "rule_true_probability": 0.84, "score": 0.16000000000000003}
|
| 399 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "native-cwe120-exp-v1:7e7983a281c8561a", "role": "before", "rule_true_probability": 0.14, "score": 0.86}
|
| 400 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "native-cwe120-exp-v1:7e7983a281c8561a", "role": "after", "rule_true_probability": 0.92, "score": 0.07999999999999996}
|
| 401 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "native-cwe120:b120_18473963bcba5366", "role": "before", "rule_true_probability": 0.79, "score": 0.20999999999999996}
|
| 402 |
-
{"alert":
|
| 403 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "zephyrproject-rtos_zephyr__8dc7a37bc754__z_vrfy_k_poll", "role": "before", "rule_true_probability": 0.52, "score": 0.48}
|
| 404 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "zephyrproject-rtos_zephyr__8dc7a37bc754__z_vrfy_k_poll", "role": "after", "rule_true_probability": 0.89, "score": 0.10999999999999999}
|
| 405 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:apple__swift-markdown-133:734e38ca3040", "role": "before", "rule_true_probability": 0.82, "score": 0.18000000000000005}
|
| 406 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:apple__swift-markdown-133:734e38ca3040", "role": "after", "rule_true_probability": 0.86, "score": 0.14}
|
| 407 |
-
{"alert":
|
| 408 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:apple__swift-markdown-50:e07e7b2e43ae", "role": "after", "rule_true_probability": 0.6, "score": 0.4}
|
| 409 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:dependencytrack__dependency-track-2030:266300c4d70f", "role": "before", "rule_true_probability": 0.22, "score": 0.78}
|
| 410 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:dependencytrack__dependency-track-2030:266300c4d70f", "role": "after", "rule_true_probability": 0.87, "score": 0.13}
|
|
@@ -415,7 +415,7 @@
|
|
| 415 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:nodejs__llhttp-245:013562950290", "role": "before", "rule_true_probability": 0.78, "score": 0.21999999999999997}
|
| 416 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:nodejs__llhttp-245:013562950290", "role": "after", "rule_true_probability": 0.87, "score": 0.13}
|
| 417 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:symfony__ux-2757:c66bcc7fb459", "role": "before", "rule_true_probability": 0.24, "score": 0.76}
|
| 418 |
-
{"alert":
|
| 419 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "swebench-v1:029f640ae15bab40edf490f0", "role": "before", "rule_true_probability": 0.24, "score": 0.76}
|
| 420 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swebench-v1:029f640ae15bab40edf490f0", "role": "after", "rule_true_probability": 0.84, "score": 0.16000000000000003}
|
| 421 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "c6a9fa4c0365a32ad3e06371", "role": "before", "rule_true_probability": 0.68, "score": 0.31999999999999995}
|
|
|
|
| 4 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "github-pr:rack/rack#2270", "role": "after", "rule_true_probability": 0.76, "score": 0.24}
|
| 5 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "github-pr:rails/rails#58854", "role": "before", "rule_true_probability": 0.7, "score": 0.30000000000000004}
|
| 6 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "github-pr:rails/rails#58854", "role": "after", "rule_true_probability": 0.66, "score": 0.33999999999999997}
|
| 7 |
+
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "jsts-exp-003", "role": "before", "rule_true_probability": 0.35, "score": 0.65}
|
| 8 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "jsts-exp-003", "role": "after", "rule_true_probability": 0.89, "score": 0.10999999999999999}
|
| 9 |
+
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:analysis-dev__diktat-596:242162b945c0", "role": "before", "rule_true_probability": 0.46, "score": 0.54}
|
| 10 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:analysis-dev__diktat-596:242162b945c0", "role": "after", "rule_true_probability": 0.8, "score": 0.19999999999999996}
|
| 11 |
+
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:analysis-dev__diktat-596:50bf988c970f", "role": "before", "rule_true_probability": 0.43, "score": 0.5700000000000001}
|
| 12 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:analysis-dev__diktat-596:50bf988c970f", "role": "after", "rule_true_probability": 0.72, "score": 0.28}
|
| 13 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:ant-design-blazor__ant-design-blazor-4147:71d86eb8c6c7", "role": "before", "rule_true_probability": 0.23, "score": 0.77}
|
| 14 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:ant-design-blazor__ant-design-blazor-4147:71d86eb8c6c7", "role": "after", "rule_true_probability": 0.85, "score": 0.15000000000000002}
|
| 15 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:anz-bank__sysl-1020:6644005fa407", "role": "before", "rule_true_probability": 0.29, "score": 0.71}
|
| 16 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:anz-bank__sysl-1020:6644005fa407", "role": "after", "rule_true_probability": 0.72, "score": 0.28}
|
| 17 |
+
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:apache__jena-2623:7b4f03929161", "role": "before", "rule_true_probability": 0.43, "score": 0.5700000000000001}
|
| 18 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:apache__jena-2623:7b4f03929161", "role": "after", "rule_true_probability": 0.84, "score": 0.16000000000000003}
|
| 19 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:apollographql__apollo-codegen-312:f87be2100129", "role": "before", "rule_true_probability": 0.58, "score": 0.42000000000000004}
|
| 20 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:apollographql__apollo-codegen-312:f87be2100129", "role": "after", "rule_true_probability": 0.78, "score": 0.21999999999999997}
|
|
|
|
| 25 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:bluenviron__gortsplib-446:0ef11be4bfc9", "role": "before", "rule_true_probability": 0.12, "score": 0.88}
|
| 26 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:bluenviron__gortsplib-446:0ef11be4bfc9", "role": "after", "rule_true_probability": 0.88, "score": 0.12}
|
| 27 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:btcpayserver__btcpayserver-6228:d9580301bdc1", "role": "before", "rule_true_probability": 0.1, "score": 0.9}
|
| 28 |
+
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:btcpayserver__btcpayserver-6228:d9580301bdc1", "role": "after", "rule_true_probability": 0.44, "score": 0.56}
|
| 29 |
+
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:cloudspannerecosystem__harbourbridge-42:68765060916d", "role": "before", "rule_true_probability": 0.37, "score": 0.63}
|
| 30 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:cloudspannerecosystem__harbourbridge-42:68765060916d", "role": "after", "rule_true_probability": 0.66, "score": 0.33999999999999997}
|
| 31 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:cobalt-org__liquid-rust-404:b1a06d50da36", "role": "before", "rule_true_probability": 0.17, "score": 0.83}
|
| 32 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:cobalt-org__liquid-rust-404:b1a06d50da36", "role": "after", "rule_true_probability": 0.88, "score": 0.12}
|
| 33 |
+
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:cqfn__diktat-1098:d9cd81aae67b", "role": "before", "rule_true_probability": 0.32, "score": 0.6799999999999999}
|
| 34 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:cqfn__diktat-1098:d9cd81aae67b", "role": "after", "rule_true_probability": 0.88, "score": 0.12}
|
| 35 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:dedoc__scramble-362:6b687a3dff51", "role": "before", "rule_true_probability": 0.08, "score": 0.92}
|
| 36 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:dedoc__scramble-362:6b687a3dff51", "role": "after", "rule_true_probability": 0.85, "score": 0.15000000000000002}
|
| 37 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:delgan__loguru-960:9985727b72ce", "role": "before", "rule_true_probability": 0.57, "score": 0.43000000000000005}
|
| 38 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:delgan__loguru-960:9985727b72ce", "role": "after", "rule_true_probability": 0.71, "score": 0.29000000000000004}
|
| 39 |
+
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:dotnet-script__dotnet-script-762:2906c196f88d", "role": "before", "rule_true_probability": 0.45, "score": 0.55}
|
| 40 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:dotnet-script__dotnet-script-762:2906c196f88d", "role": "after", "rule_true_probability": 0.83, "score": 0.17000000000000004}
|
| 41 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:dvanoni__notero-608:9b62d028fce0", "role": "before", "rule_true_probability": 0.79, "score": 0.20999999999999996}
|
| 42 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:dvanoni__notero-608:9b62d028fce0", "role": "after", "rule_true_probability": 0.9, "score": 0.09999999999999998}
|
|
|
|
| 48 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:effekt-lang__effekt-1043:03bdd684f0ef", "role": "after", "rule_true_probability": 0.77, "score": 0.22999999999999998}
|
| 49 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:evant__kotlin-inject-427:15b8dc7a726a", "role": "before", "rule_true_probability": 0.69, "score": 0.31000000000000005}
|
| 50 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:evant__kotlin-inject-427:15b8dc7a726a", "role": "after", "rule_true_probability": 0.92, "score": 0.07999999999999996}
|
| 51 |
+
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:getsentry__sentry-rust-846:ca3774c995f9", "role": "before", "rule_true_probability": 0.49, "score": 0.51}
|
| 52 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:getsentry__sentry-rust-846:ca3774c995f9", "role": "after", "rule_true_probability": 0.82, "score": 0.18000000000000005}
|
| 53 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:getslash__slash-1035:8b461bfb87cf", "role": "before", "rule_true_probability": 0.25, "score": 0.75}
|
| 54 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:getslash__slash-1035:8b461bfb87cf", "role": "after", "rule_true_probability": 0.86, "score": 0.14}
|
| 55 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:go-co-op__gocron-809:fc41814bae65", "role": "before", "rule_true_probability": 0.24, "score": 0.76}
|
| 56 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:go-co-op__gocron-809:fc41814bae65", "role": "after", "rule_true_probability": 0.81, "score": 0.18999999999999995}
|
| 57 |
+
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:go-kit__kit-974:f1b8a4c5cb1b", "role": "before", "rule_true_probability": 0.43, "score": 0.5700000000000001}
|
| 58 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:go-kit__kit-974:f1b8a4c5cb1b", "role": "after", "rule_true_probability": 0.83, "score": 0.17000000000000004}
|
| 59 |
+
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| 66 |
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| 68 |
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| 152 |
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| 160 |
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| 176 |
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| 180 |
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| 190 |
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{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:d9d3d676a03eab373ba1f482", "role": "before", "rule_true_probability": 0.17, "score": 0.83}
|
| 350 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:d9d3d676a03eab373ba1f482", "role": "after", "rule_true_probability": 0.92, "score": 0.07999999999999996}
|
| 351 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:e5d1aae995e5b64c8ce0dfa9", "role": "before", "rule_true_probability": 0.26, "score": 0.74}
|
| 352 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:e5d1aae995e5b64c8ce0dfa9", "role": "after", "rule_true_probability": 0.83, "score": 0.17000000000000004}
|
| 353 |
+
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:eaa78aace8fc0f77f5bf88e2", "role": "before", "rule_true_probability": 0.3, "score": 0.7}
|
| 354 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:eaa78aace8fc0f77f5bf88e2", "role": "after", "rule_true_probability": 0.74, "score": 0.26}
|
| 355 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:f086c7863961e3264025b7d4", "role": "before", "rule_true_probability": 0.13, "score": 0.87}
|
| 356 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:f086c7863961e3264025b7d4", "role": "after", "rule_true_probability": 0.89, "score": 0.10999999999999999}
|
| 357 |
+
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:f22168ed2c8ed6c70404608e", "role": "before", "rule_true_probability": 0.46, "score": 0.54}
|
| 358 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:f22168ed2c8ed6c70404608e", "role": "after", "rule_true_probability": 0.77, "score": 0.22999999999999998}
|
| 359 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:f3110d2507dafa395fdf4e0c", "role": "before", "rule_true_probability": 0.61, "score": 0.39}
|
| 360 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:f3110d2507dafa395fdf4e0c", "role": "after", "rule_true_probability": 0.85, "score": 0.15000000000000002}
|
| 361 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:f71ec84d46d4b0dad9776e8e", "role": "before", "rule_true_probability": 0.1, "score": 0.9}
|
| 362 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:f71ec84d46d4b0dad9776e8e", "role": "after", "rule_true_probability": 0.73, "score": 0.27}
|
| 363 |
+
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:fb4c62a5fe82552aaed01d9f", "role": "before", "rule_true_probability": 0.46, "score": 0.54}
|
| 364 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:fb4c62a5fe82552aaed01d9f", "role": "after", "rule_true_probability": 0.58, "score": 0.42000000000000004}
|
| 365 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:fbfa7dede0914f37a0b85b88", "role": "before", "rule_true_probability": 0.09, "score": 0.91}
|
| 366 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "ghsa-source:fbfa7dede0914f37a0b85b88", "role": "after", "rule_true_probability": 0.88, "score": 0.12}
|
|
|
|
| 370 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "github-advisory:aio-libs/aiohttp:0ae2aa076c84573df83fc1fdc39eec0f5862fe3d:54c46b33aaf4", "role": "after", "rule_true_probability": 0.88, "score": 0.12}
|
| 371 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "github-advisory:altcha-org/altcha-lib-php:9e9e70c864a9db960d071c77c778be0c9ff1a4d0:e77a3026cc9f", "role": "before", "rule_true_probability": 0.57, "score": 0.43000000000000005}
|
| 372 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "github-advisory:altcha-org/altcha-lib-php:9e9e70c864a9db960d071c77c778be0c9ff1a4d0:e77a3026cc9f", "role": "after", "rule_true_probability": 0.61, "score": 0.39}
|
| 373 |
+
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "github-advisory:altcha-org/altcha-lib-rb:4fd7b64cbbfc713f3ca4e066c2dd466e3b8d359b:722bfb34f94c", "role": "before", "rule_true_probability": 0.3, "score": 0.7}
|
| 374 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "github-advisory:altcha-org/altcha-lib-rb:4fd7b64cbbfc713f3ca4e066c2dd466e3b8d359b:722bfb34f94c", "role": "after", "rule_true_probability": 0.83, "score": 0.17000000000000004}
|
| 375 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "github-advisory:altcha-org/altcha-lib:cb95d83a8d08e273b6be15e48988e7eaf60d5c08:70369c7907dc", "role": "before", "rule_true_probability": 0.7, "score": 0.30000000000000004}
|
| 376 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "github-advisory:altcha-org/altcha-lib:cb95d83a8d08e273b6be15e48988e7eaf60d5c08:70369c7907dc", "role": "after", "rule_true_probability": 0.67, "score": 0.32999999999999996}
|
|
|
|
| 392 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "github-advisory:clinical-genomics/cg:96e6a968a5a3639cc40ad251ad65952e4f38dd25:ba5553cf98e6", "role": "after", "rule_true_probability": 0.85, "score": 0.15000000000000002}
|
| 393 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "github-advisory:comfy-org/comfyui-manager:ef8703a3d7ab4e6ecda8f96e0c5816c23d1cb262:05f1045df598", "role": "before", "rule_true_probability": 0.23, "score": 0.77}
|
| 394 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "github-advisory:comfy-org/comfyui-manager:ef8703a3d7ab4e6ecda8f96e0c5816c23d1cb262:05f1045df598", "role": "after", "rule_true_probability": 0.89, "score": 0.10999999999999999}
|
| 395 |
+
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "github-advisory:cyberdrop-dl/cyberdrop-dl:4479555ae3f9d56d7657d6179a5bac3123eb4e2b:ef42a181abe3", "role": "before", "rule_true_probability": 0.35, "score": 0.65}
|
| 396 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "github-advisory:cyberdrop-dl/cyberdrop-dl:4479555ae3f9d56d7657d6179a5bac3123eb4e2b:ef42a181abe3", "role": "after", "rule_true_probability": 0.88, "score": 0.12}
|
| 397 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "github-advisory:django-helpdesk/django-helpdesk:04483bdac3b5196737516398b5ce0383875a5c60:1e6c19853273", "role": "before", "rule_true_probability": 0.25, "score": 0.75}
|
| 398 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "github-advisory:django-helpdesk/django-helpdesk:04483bdac3b5196737516398b5ce0383875a5c60:1e6c19853273", "role": "after", "rule_true_probability": 0.84, "score": 0.16000000000000003}
|
| 399 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "native-cwe120-exp-v1:7e7983a281c8561a", "role": "before", "rule_true_probability": 0.14, "score": 0.86}
|
| 400 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "native-cwe120-exp-v1:7e7983a281c8561a", "role": "after", "rule_true_probability": 0.92, "score": 0.07999999999999996}
|
| 401 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "native-cwe120:b120_18473963bcba5366", "role": "before", "rule_true_probability": 0.79, "score": 0.20999999999999996}
|
| 402 |
+
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "native-cwe120:b120_18473963bcba5366", "role": "after", "rule_true_probability": 0.48, "score": 0.52}
|
| 403 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "zephyrproject-rtos_zephyr__8dc7a37bc754__z_vrfy_k_poll", "role": "before", "rule_true_probability": 0.52, "score": 0.48}
|
| 404 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "zephyrproject-rtos_zephyr__8dc7a37bc754__z_vrfy_k_poll", "role": "after", "rule_true_probability": 0.89, "score": 0.10999999999999999}
|
| 405 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:apple__swift-markdown-133:734e38ca3040", "role": "before", "rule_true_probability": 0.82, "score": 0.18000000000000005}
|
| 406 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:apple__swift-markdown-133:734e38ca3040", "role": "after", "rule_true_probability": 0.86, "score": 0.14}
|
| 407 |
+
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:apple__swift-markdown-50:e07e7b2e43ae", "role": "before", "rule_true_probability": 0.37, "score": 0.63}
|
| 408 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:apple__swift-markdown-50:e07e7b2e43ae", "role": "after", "rule_true_probability": 0.6, "score": 0.4}
|
| 409 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:dependencytrack__dependency-track-2030:266300c4d70f", "role": "before", "rule_true_probability": 0.22, "score": 0.78}
|
| 410 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:dependencytrack__dependency-track-2030:266300c4d70f", "role": "after", "rule_true_probability": 0.87, "score": 0.13}
|
|
|
|
| 415 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:nodejs__llhttp-245:013562950290", "role": "before", "rule_true_probability": 0.78, "score": 0.21999999999999997}
|
| 416 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:nodejs__llhttp-245:013562950290", "role": "after", "rule_true_probability": 0.87, "score": 0.13}
|
| 417 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:symfony__ux-2757:c66bcc7fb459", "role": "before", "rule_true_probability": 0.24, "score": 0.76}
|
| 418 |
+
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swe-rebench:symfony__ux-2757:c66bcc7fb459", "role": "after", "rule_true_probability": 0.42, "score": 0.5800000000000001}
|
| 419 |
{"alert": true, "domain": "lint", "model_id": "jev", "pair_id": "swebench-v1:029f640ae15bab40edf490f0", "role": "before", "rule_true_probability": 0.24, "score": 0.76}
|
| 420 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "swebench-v1:029f640ae15bab40edf490f0", "role": "after", "rule_true_probability": 0.84, "score": 0.16000000000000003}
|
| 421 |
{"alert": false, "domain": "lint", "model_id": "jev", "pair_id": "c6a9fa4c0365a32ad3e06371", "role": "before", "rule_true_probability": 0.68, "score": 0.31999999999999995}
|
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| 105 |
{"alert": true, "domain": "security", "model_id": "semif", "pair_id": "797441380f97402071701620", "question_scores": {"cwe_120": 0.7362909896025014, "cwe_121": 0.9005004056480117, "cwe_122": 0.9503323502436923, "cwe_125": 0.9669585996486967, "cwe_190": 0.8108998559592989, "cwe_200": 0.07624941043820771, "cwe_22": 0.12753246331499496, "cwe_284": 0.060307203391673794, "cwe_295": 0.005247444075257485, "cwe_306": 0.9538594397194, "cwe_327": 0.03125850432088045, "cwe_352": 0.19742209003225317, "cwe_416": 0.8022534275921245, "cwe_434": 0.5976762261506947, "cwe_476": 0.7801686196812045, "cwe_502": 0.9449977864271741, "cwe_601": 0.05889695781808701, "cwe_639": 0.845516405319208, "cwe_77": 0.18195376458834323, "cwe_770": 0.9186564389505163, "cwe_78": 0.10669985468473403, "cwe_787": 0.9341553039984796, "cwe_79": 0.6729331376614806, "cwe_798": 0.004419852103162922, "cwe_862": 0.9571061017496446, "cwe_863": 0.5409437651217684, "cwe_89": 0.21637869540307725, "cwe_908": 0.9801862658697, "cwe_918": 0.524322371203011, "cwe_94": 0.5417412688015077}, "role": "after", "score": 0.9801862658697, "usage": {"cost": 0.000108, "input_tokens": 5162, "output_tokens": 0}}
|
| 106 |
{"alert": true, "domain": "security", "model_id": "semif", "pair_id": "benign-multilang:0138f357ea09258549a2f532", "question_scores": {"cwe_200": 0.005648300303964669, "cwe_22": 0.16811622035050777, "cwe_284": 0.08057565638141347, "cwe_295": 0.011458633667833822, "cwe_306": 0.8814420073741696, "cwe_327": 0.024154189139634023, "cwe_352": 0.6054983821806369, "cwe_434": 0.735268319647291, "cwe_502": 0.45636386807067764, "cwe_601": 0.3004588562786315, "cwe_639": 0.6659131574004885, "cwe_77": 0.3983684976946545, "cwe_770": 0.816065059913586, "cwe_78": 0.12759105269918566, "cwe_79": 0.7832679242766492, "cwe_798": 0.0056315928536948235, "cwe_862": 0.8710141921300361, "cwe_863": 0.28176985501999985, "cwe_89": 0.1513202803583686, "cwe_918": 0.2995600279103525, "cwe_94": 0.28533345534508975}, "role": "after", "score": 0.8814420073741696, "usage": {"cost": 4.9e-05, "input_tokens": 2356, "output_tokens": 0}}
|
| 107 |
{"alert": true, "domain": "security", "model_id": "semif", "pair_id": "b2c986cde9a41483d45f18a8", "question_scores": {"cwe_120": 0.7909078103384881, "cwe_121": 0.821187838765075, "cwe_122": 0.9591296211196543, "cwe_125": 0.9682857221127575, "cwe_190": 0.8368597269853211, "cwe_200": 0.36600000066239996, "cwe_22": 0.18276856109888692, "cwe_284": 0.23254766283618766, "cwe_295": 0.011178378473704087, "cwe_306": 0.9745828989010135, "cwe_327": 0.026644281323554342, "cwe_352": 0.3347113270817274, "cwe_416": 0.8598750903244712, "cwe_434": 0.6483850556735005, "cwe_476": 0.7469625539807895, "cwe_502": 0.8822827389040461, "cwe_601": 0.06466179316185372, "cwe_639": 0.8648827611431849, "cwe_77": 0.15061179872779776, "cwe_770": 0.7333701763789433, "cwe_78": 0.052655471301019156, "cwe_787": 0.9668542331703027, "cwe_79": 0.4179626794180078, "cwe_798": 0.016732720313946098, "cwe_862": 0.972276654178284, "cwe_863": 0.3320916307892635, "cwe_89": 0.05995214817356831, "cwe_908": 0.9625465217187751, "cwe_918": 0.5448184239624962, "cwe_94": 0.5886249746429515}, "role": "after", "score": 0.9745828989010135, "usage": {"cost": 0.000116, "input_tokens": 5520, "output_tokens": 0}}
|
| 108 |
-
{"alert":
|
| 109 |
{"alert": true, "domain": "security", "model_id": "semif", "pair_id": "benign-multilang:0ac5658da2c1f5fddd1dd69d", "question_scores": {"cwe_190": 0.03501191694681291, "cwe_200": 0.0010376975207942642, "cwe_22": 0.1574868019428173, "cwe_284": 0.02553572190931972, "cwe_295": 0.006481730733858725, "cwe_306": 0.6404531635506164, "cwe_327": 0.0015576286018028573, "cwe_352": 0.2822823548951099, "cwe_434": 0.6955056922633871, "cwe_502": 0.24376195224538919, "cwe_601": 0.1801221534220336, "cwe_639": 0.6893591256891731, "cwe_77": 0.37326253981265256, "cwe_770": 0.5699531675812294, "cwe_78": 0.5551860709001689, "cwe_79": 0.3944724592482109, "cwe_798": 0.001995087005458702, "cwe_862": 0.6276753489555641, "cwe_863": 0.09006486032834815, "cwe_89": 0.4984598208504167, "cwe_918": 0.726162090065862, "cwe_94": 0.14988198109928158}, "role": "after", "score": 0.726162090065862, "usage": {"cost": 0.000109, "input_tokens": 5169, "output_tokens": 0}}
|
| 110 |
{"alert": true, "domain": "security", "model_id": "semif", "pair_id": "benign-multilang:0e8de1b04d8569cd8ce2d329", "question_scores": {"cwe_200": 0.002198295122066515, "cwe_22": 0.1509471215715291, "cwe_284": 0.22685255126078183, "cwe_295": 0.008559953043912397, "cwe_306": 0.8727705075617123, "cwe_327": 0.0028354783258051266, "cwe_352": 0.26493220522804245, "cwe_434": 0.7466863059880169, "cwe_502": 0.12142728926660068, "cwe_601": 0.19337278862257506, "cwe_639": 0.8346260309994723, "cwe_77": 0.23652862509741376, "cwe_770": 0.3294536570093129, "cwe_78": 0.1982369160801692, "cwe_79": 0.21495394757489006, "cwe_798": 0.0009355142700355277, "cwe_862": 0.9244657056636243, "cwe_863": 0.296013936941196, "cwe_89": 0.09710907328807065, "cwe_918": 0.2443961180835965, "cwe_94": 0.10065843163097296}, "role": "before", "score": 0.9244657056636243, "usage": {"cost": 3.7e-05, "input_tokens": 1762, "output_tokens": 0}}
|
| 111 |
{"alert": true, "domain": "security", "model_id": "semif", "pair_id": "benign-multilang:0e8de1b04d8569cd8ce2d329", "question_scores": {"cwe_200": 0.00239289383852241, "cwe_22": 0.14981879874425374, "cwe_284": 0.23199293272573937, "cwe_295": 0.008559953043912397, "cwe_306": 0.8730794222042835, "cwe_327": 0.002626917546723249, "cwe_352": 0.26493220522804245, "cwe_434": 0.7569103782753401, "cwe_502": 0.12038105280295204, "cwe_601": 0.19337278862257506, "cwe_639": 0.8321380980344613, "cwe_77": 0.24042505571036316, "cwe_770": 0.3294536570093129, "cwe_78": 0.18395268678429547, "cwe_79": 0.2171889549378353, "cwe_798": 0.0009726165176900078, "cwe_862": 0.9244657056636243, "cwe_863": 0.296013936941196, "cwe_89": 0.09173080117894801, "cwe_918": 0.2443961180835965, "cwe_94": 0.10065843163097296}, "role": "after", "score": 0.9244657056636243, "usage": {"cost": 3.7e-05, "input_tokens": 1762, "output_tokens": 0}}
|
|
|
|
| 105 |
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| 109 |
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| 111 |
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results-current.jsonl
CHANGED
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 20 |
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| 21 |
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| 22 |
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{"alert_rule": "rule violation score > 0.7", "average_precision": 0.4887464253484338, "benchmark_methods": 142, "benchmark_pairs": 71, "confusion": {"fn": 41, "fp": 32, "tn": 39, "tp": 30}, "domain": "lint", "f1": 0.45112781954887216, "inference_cost_basis": "API reported", "inference_cost_usd": 0.005866, "model_id": "semif", "model_revision": "semif", "pair_order": 0.5070422535211268, "pair_order_correct": 36, "pair_order_eligible": 71, "precision": 0.4838709677419355, "protocol_id": "perch-semantic-ensure-v1", "question_pack_sha256": null, "recall": 0.4225352112676056, "run_id": "perch-scan-pack-configured-floors-20260928", "threshold": 0.7, "track": "private"}
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| 23 |
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{"alert_rule": "rule violation score > 0.7", "average_precision": 0.8296819071061596, "benchmark_methods": 142, "benchmark_pairs": 71, "confusion": {"fn": 33, "fp": 6, "tn": 65, "tp": 38}, "domain": "lint", "f1": 0.6608695652173913, "inference_cost_basis": "API reported", "inference_cost_usd": 0.005866, "model_id": "diffusiongemma", "model_revision": "diffusiongemma", "pair_order": 0.8591549295774648, "pair_order_correct": 61, "pair_order_eligible": 71, "precision": 0.8636363636363636, "protocol_id": "perch-semantic-ensure-v1", "question_pack_sha256": null, "recall": 0.5352112676056338, "run_id": "perch-scan-pack-configured-floors-20260928", "threshold": 0.7, "track": "private"}
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| 24 |
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{"alert_rule": "rule violation score > 0.7", "average_precision": 0.5141925432023778, "benchmark_methods": 142, "benchmark_pairs": 71, "confusion": {"fn": 35, "fp": 35, "tn": 36, "tp": 36}, "domain": "lint", "f1": 0.5070422535211268, "inference_cost_basis": "allocated GPU runtime by embedding rows", "inference_cost_usd": 0.0033639277067493522, "model_id": "clm", "model_revision": "Contrastive-LM/CLM-v0.1-8B@head-b2b4a8c9c2d39263eff78a351eb909a342ce9b3bf21a3f07c1d1bf15f1c4eda5", "pair_order": 0.5633802816901409, "pair_order_correct": 40, "pair_order_eligible": 71, "precision": 0.5070422535211268, "protocol_id": "clm-choice-head-v1", "question_pack_sha256": null, "recall": 0.5070422535211268, "run_id": "perch-scan-pack-configured-floors-20260928", "threshold": 0.7, "track": "private"}
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{"alert_rule": "score > 0.5", "average_precision": 0.4887464253484338, "benchmark_methods": 142, "benchmark_pairs": 71, "confusion": {"fn": 18, "fp": 51, "tn": 20, "tp": 53}, "domain": "lint", "f1": 0.6057142857142858, "inference_cost_basis": "API reported", "inference_cost_usd": 0.005866, "model_id": "semif", "model_revision": "semif", "pair_order": 0.5070422535211268, "pair_order_correct": 36, "pair_order_eligible": 71, "precision": 0.5096153846153846, "protocol_id": "perch-semantic-ensure-v1", "question_pack_sha256": null, "recall": 0.7464788732394366, "run_id": "perch-scan-pack-20260928", "threshold": 0.5, "track": "private"}
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| 41 |
{"alert_rule": "score > 0.5", "average_precision": 0.8296819071061596, "benchmark_methods": 142, "benchmark_pairs": 71, "confusion": {"fn": 27, "fp": 7, "tn": 64, "tp": 44}, "domain": "lint", "f1": 0.7213114754098361, "inference_cost_basis": "API reported", "inference_cost_usd": 0.005866, "model_id": "diffusiongemma", "model_revision": "diffusiongemma", "pair_order": 0.8591549295774648, "pair_order_correct": 61, "pair_order_eligible": 71, "precision": 0.8627450980392157, "protocol_id": "perch-semantic-ensure-v1", "question_pack_sha256": null, "recall": 0.6197183098591549, "run_id": "perch-scan-pack-20260928", "threshold": 0.5, "track": "private"}
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| 42 |
{"alert_rule": "score > 0.5", "average_precision": 0.5141925432023778, "benchmark_methods": 142, "benchmark_pairs": 71, "confusion": {"fn": 15, "fp": 55, "tn": 16, "tp": 56}, "domain": "lint", "f1": 0.6153846153846154, "inference_cost_basis": "allocated GPU runtime by embedding rows", "inference_cost_usd": 0.0033639277067493522, "model_id": "clm", "model_revision": "Contrastive-LM/CLM-v0.1-8B@head-b2b4a8c9c2d39263eff78a351eb909a342ce9b3bf21a3f07c1d1bf15f1c4eda5", "pair_order": 0.5633802816901409, "pair_order_correct": 40, "pair_order_eligible": 71, "precision": 0.5045045045045045, "protocol_id": "clm-choice-head-v1", "question_pack_sha256": null, "recall": 0.7887323943661971, "run_id": "perch-scan-pack-20260928", "threshold": 0.5, "track": "private"}
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{"alert_rule": "score > 0.5", "average_precision": 0.4887464253484338, "benchmark_methods": 142, "benchmark_pairs": 71, "confusion": {"fn": 18, "fp": 51, "tn": 20, "tp": 53}, "domain": "lint", "f1": 0.6057142857142858, "inference_cost_basis": "API reported", "inference_cost_usd": 0.005866, "model_id": "semif", "model_revision": "semif", "pair_order": 0.5070422535211268, "pair_order_correct": 36, "pair_order_eligible": 71, "precision": 0.5096153846153846, "protocol_id": "perch-semantic-ensure-v1", "question_pack_sha256": null, "recall": 0.7464788732394366, "run_id": "perch-scan-pack-20260928", "threshold": 0.5, "track": "private"}
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| 41 |
{"alert_rule": "score > 0.5", "average_precision": 0.8296819071061596, "benchmark_methods": 142, "benchmark_pairs": 71, "confusion": {"fn": 27, "fp": 7, "tn": 64, "tp": 44}, "domain": "lint", "f1": 0.7213114754098361, "inference_cost_basis": "API reported", "inference_cost_usd": 0.005866, "model_id": "diffusiongemma", "model_revision": "diffusiongemma", "pair_order": 0.8591549295774648, "pair_order_correct": 61, "pair_order_eligible": 71, "precision": 0.8627450980392157, "protocol_id": "perch-semantic-ensure-v1", "question_pack_sha256": null, "recall": 0.6197183098591549, "run_id": "perch-scan-pack-20260928", "threshold": 0.5, "track": "private"}
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| 42 |
{"alert_rule": "score > 0.5", "average_precision": 0.5141925432023778, "benchmark_methods": 142, "benchmark_pairs": 71, "confusion": {"fn": 15, "fp": 55, "tn": 16, "tp": 56}, "domain": "lint", "f1": 0.6153846153846154, "inference_cost_basis": "allocated GPU runtime by embedding rows", "inference_cost_usd": 0.0033639277067493522, "model_id": "clm", "model_revision": "Contrastive-LM/CLM-v0.1-8B@head-b2b4a8c9c2d39263eff78a351eb909a342ce9b3bf21a3f07c1d1bf15f1c4eda5", "pair_order": 0.5633802816901409, "pair_order_correct": 40, "pair_order_eligible": 71, "precision": 0.5045045045045045, "protocol_id": "clm-choice-head-v1", "question_pack_sha256": null, "recall": 0.7887323943661971, "run_id": "perch-scan-pack-20260928", "threshold": 0.5, "track": "private"}
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| 43 |
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{"alert_rule": "any issue score > max(0.5, question min)", "average_precision": 0.4620038040696911, "benchmark_methods": 4440, "benchmark_pairs": 2220, "confusion": {"fn": 1752, "fp": 87, "tn": 2492, "tp": 109}, "domain": "bug", "f1": 0.10597958191541079, "inference_cost_basis": "API input tokens at published rate", "inference_cost_usd": 0.6199362540000001, "model_id": "jev", "model_revision": "jev-1.13.0", "pair_order": 0.4214365881032548, "pair_order_correct": 751, "pair_order_eligible": 1782, "precision": 0.5561224489795918, "protocol_id": "perch-scan-bb53c8a6ca30", "question_pack_sha256": "bb53c8a6ca30920140e2bf33b2905d159e7b1709b29d1ea896637905dbf9047d", "recall": 0.05857066093498119, "run_id": "perch-scan-pack-configured-floors-20260928", "threshold": 0.5, "track": "public"}
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