| { |
| "experiment": "aid-definitions-v1", |
| "status": "prepared_not_run", |
| "dataset": "aid-test-2000", |
| "dataset_version": "1000198073523310044", |
| "case_count": 2000, |
| "case_manifest_sha256": "4d24a4e088d564d32e8ec16869ef6f82b224d67a5aa45068f2a9efc4efe32c0f", |
| "class_counts": { |
| "Airport": 72, |
| "BareLand": 62, |
| "BaseballField": 44, |
| "Beach": 80, |
| "Bridge": 72, |
| "Center": 52, |
| "Church": 48, |
| "Commercial": 70, |
| "DenseResidential": 82, |
| "Desert": 60, |
| "Farmland": 74, |
| "Forest": 50, |
| "Industrial": 78, |
| "Meadow": 56, |
| "MediumResidential": 58, |
| "Mountain": 68, |
| "Park": 70, |
| "Parking": 78, |
| "Playground": 74, |
| "Pond": 84, |
| "Port": 76, |
| "RailwayStation": 52, |
| "Resort": 58, |
| "River": 82, |
| "School": 60, |
| "SparseResidential": 60, |
| "Square": 66, |
| "Stadium": 58, |
| "StorageTanks": 72, |
| "Viaduct": 84 |
| }, |
| "labels": [ |
| "Airport", |
| "BareLand", |
| "BaseballField", |
| "Beach", |
| "Bridge", |
| "Center", |
| "Church", |
| "Commercial", |
| "DenseResidential", |
| "Desert", |
| "Farmland", |
| "Forest", |
| "Industrial", |
| "Meadow", |
| "MediumResidential", |
| "Mountain", |
| "Park", |
| "Parking", |
| "Playground", |
| "Pond", |
| "Port", |
| "RailwayStation", |
| "Resort", |
| "River", |
| "School", |
| "SparseResidential", |
| "Square", |
| "Stadium", |
| "StorageTanks", |
| "Viaduct" |
| ], |
| "label_order": "Original alphabetical order, unchanged", |
| "models": [ |
| "luna", |
| "jev", |
| "clef", |
| "d1", |
| "d1-ultra" |
| ], |
| "trials": 1, |
| "max_concurrency_per_model": 6, |
| "planned_predictions": 10000, |
| "retry_policy": "Inherited: up to 3 attempts", |
| "prompt_file": "prompt.txt", |
| "prompt_sha256": "12e2b2b58a973300a03c8c307366cefa37488dce365152bb2852d08115a5ea1b", |
| "baseline_prompt_sha256": "73c54a1d7852ebc4bf18c2363e47cc676af7e7d3580a18c4b667f91c48e9a5b3", |
| "prompt_words": 559, |
| "prompt_characters": 3923, |
| "image_policy": "Original image bytes, detected MIME type; no client resizing; provider preprocessing applies", |
| "sole_planned_input_change": "Append identical class descriptions to the original instruction for all five models; choice values and descriptions remain the original class names.", |
| "sources_and_assumptions": "class-guide.json", |
| "source_versions_sha256": { |
| "native_eval.py": "816fce1151a70cfd412a221fd79311956c7aacaba3623566bbf0943a824cc5ec", |
| "eval.py": "8d83811e75d170ca839732a6665e0d4f8a50237ae80d7c8a43caf71eee865cc9", |
| "cost_accounting.py": "800c448c10683d7efcf8c34f45c3917ad87cc09ad33274ac4e7347793c0c1494", |
| "config.json": "f4711af0e40718d5919b14b1507775c57520ff3b3116655c7322fdebd27c11f0" |
| }, |
| "baseline_runs": { |
| "luna": "luna.jsonl", |
| "jev": "jev.jsonl", |
| "clef": "clef.jsonl", |
| "d1": "d1.jsonl", |
| "d1-ultra": "d1-ultra.jsonl" |
| }, |
| "analysis_plan": [ |
| "Preserve original predictions, ground-truth labels, and published baseline plots.", |
| "Compare per-model accuracy on all 2000 cases, valid-output coverage, macro F1 with its denominator stated, class recalls, and full confusion matrices.", |
| "Report paired counts of baseline-wrong/new-correct and baseline-correct/new-wrong; use a paired bootstrap for accuracy-difference intervals.", |
| "Report prompt token usage, actual available provider cost, separately labeled token cost estimates, latency, and requested/served model versions.", |
| "Inspect remaining shared errors without treating model agreement as proof of annotation error.", |
| "Do not select prompt revisions by their performance on these 2000 cases. Any later changes require a new version and separate development data." |
| ], |
| "interpretation_limits": [ |
| "Exploratory follow-up designed after reviewing baseline test errors, not a pristine confirmatory test. No case-specific labels or examples are included in the prompt.", |
| "Working definitions may introduce bias, especially Center and residential density. Improvement would show sensitivity to category wording, not prove that removed errors were dataset ambiguity.", |
| "The historical baseline and a later rerun can differ because of provider/model changes. A fresh baseline-control run would be needed for stronger causal attribution.", |
| "One trial does not measure run-to-run variability.", |
| "The copied price table is historical. Refresh price evidence before publishing a new cost comparison; do not silently present token estimates as current billed costs." |
| ] |
| } |
|
|
