Add GitHub ML run 20260925T213230000000Z-8b9f9673

coverage/20260925T213230000000Z-8b9f9673.json

@@ -0,0 +1,25 @@
+{
+  "complete_sweep": false,
+  "date_field": "created",
+  "mode": "sample",
+  "queries": [
+    {
+      "coverage_gap": false,
+      "coverage_gap_reason": null,
+      "incomplete_results": false,
+      "pages_scanned": 1,
+      "query": "\"ad ranking\" in:description created:2026-09-24..2026-09-24",
+      "query_id": "applied.ad-ranking",
+      "repositories_observed_on_last_page": 1,
+      "sampled_first_page": true,
+      "search_limit_reached": false,
+      "status": "complete",
+      "total_count": 1
+    }
+  ],
+  "requests_used": 1,
+  "run_id": "20260925T213230000000Z-8b9f9673",
+  "since": "2026-09-24",
+  "started_at": "2026-09-25T21:32:30Z",
+  "until": "2026-09-24"
+}

data/observations/2026/09/25/20260925T213230000000Z-8b9f9673.jsonl

@@ -0,0 +1 @@
+{"archived":false,"candidate_status":"candidate","created_at":"2026-09-24T16:48:40Z","description":"Beyond Keywords: does emotional congruence improve ad ranking over TF-IDF, Sentence-BERT, LightGBM and NRMS? An 8-model ablation on MIND click logs (MSc Research Practicum, NCI).","domains":["ad-ranking","advertising"],"fork":false,"forks":0,"github_id":1385963635,"homepage":null,"language":null,"license":null,"methods":[],"name":"smit-savaliya-dev/beyond-keywords-emotion-aware-ad-ranking","novelty_signals":["description","query-match","repository-metadata"],"observed_at":"2026-09-25T21:32:30Z","pushed_at":"2026-09-24T16:48:42Z","query_ids":["applied.ad-ranking"],"stars":0,"topics":[],"updated_at":"2026-09-24T16:48:46Z","url":"https://github.com/smit-savaliya-dev/beyond-keywords-emotion-aware-ad-ranking"}

state/sample.json

@@ -3,8 +3,8 @@
     "end": "2026-09-24",
     "field": "created",
     "per_page": 100,
-    "query_id": "timeseries.topic",
-    "query_index": 501,
+    "query_id": "applied.agricultural-ml",
+    "query_index": 1,
     "specs": [
       {
         "id": "applied.ad-ranking",
@@ -1638,6 +1638,38 @@
         "id": "recall.student-performance-prediction",
         "query": "\"student performance prediction\" in:name,description,readme"
       },
+      {
+        "id": "recall26.audio-language-model",
+        "query": "\"audio language model\" in:description,readme"
+      },
+      {
+        "id": "recall26.class-imbalance",
+        "query": "\"class imbalance\" \"machine learning\" in:description,readme"
+      },
+      {
+        "id": "recall26.image-dehazing",
+        "query": "\"image dehazing\" in:description,readme"
+      },
+      {
+        "id": "recall26.image-denoising",
+        "query": "\"image denoising\" in:description,readme"
+      },
+      {
+        "id": "recall26.long-tailed-recognition",
+        "query": "\"long-tailed recognition\" in:description,readme"
+      },
+      {
+        "id": "recall26.low-light-enhancement",
+        "query": "\"low-light image enhancement\" in:description,readme"
+      },
+      {
+        "id": "recall26.sign-language",
+        "query": "\"sign language\" in:description,readme"
+      },
+      {
+        "id": "recall26.visual-grounding",
+        "query": "\"visual grounding\" in:description,readme"
+      },
       {
         "id": "rl.bandits",
         "query": "\"multi-armed bandit\" in:description"
@@ -1922,6 +1954,66 @@
         "id": "science.weather-nowcasting",
         "query": "nowcasting in:description \"machine learning\""
       },
+      {
+        "id": "specialized.carbon-footprint-training",
+        "query": "\"carbon footprint\" \"deep learning\" training in:description,readme"
+      },
+      {
+        "id": "specialized.computational-pathology-ml",
+        "query": "\"computational pathology\" \"machine learning\" in:description,readme"
+      },
+      {
+        "id": "specialized.coreset-selection",
+        "query": "\"coreset selection\" in:description,readme"
+      },
+      {
+        "id": "specialized.curriculum-learning",
+        "query": "\"curriculum learning\" in:description,readme"
+      },
+      {
+        "id": "specialized.data-centric-ai",
+        "query": "\"data-centric AI\" in:description,readme"
+      },
+      {
+        "id": "specialized.data-shapley",
+        "query": "\"data Shapley\" in:description,readme"
+      },
+      {
+        "id": "specialized.dataset-distillation",
+        "query": "\"dataset distillation\" in:description,readme"
+      },
+      {
+        "id": "specialized.event-camera-deep-learning",
+        "query": "\"event camera\" \"deep learning\" in:description,readme"
+      },
+      {
+        "id": "specialized.fmri-decoding-ml",
+        "query": "\"fMRI decoding\" \"machine learning\" in:description,readme"
+      },
+      {
+        "id": "specialized.machine-unlearning",
+        "query": "\"machine unlearning\" in:description,readme"
+      },
+      {
+        "id": "specialized.mechanistic-interpretability",
+        "query": "\"mechanistic interpretability\" in:description,readme"
+      },
+      {
+        "id": "specialized.medical-image-registration-deep-learning",
+        "query": "\"medical image registration\" \"deep learning\" in:description,readme"
+      },
+      {
+        "id": "specialized.pathology-foundation-model",
+        "query": "\"pathology foundation model\" \"machine learning\" in:description,readme"
+      },
+      {
+        "id": "specialized.spiking-neural-network",
+        "query": "\"spiking neural network\" in:description,readme"
+      },
+      {
+        "id": "specialized.test-time-adaptation",
+        "query": "\"test-time adaptation\" in:description,readme"
+      },
       {
         "id": "timeseries.anomaly-detection",
         "query": "\"time series anomaly detection\" in:description"
@@ -2256,5 +2348,5 @@
   "search_policy_version": 2,
   "since": "2026-09-24",
   "until": "2026-09-24",
-  "updated_at": "2026-09-25T14:38:27Z"
+  "updated_at": "2026-09-25T21:32:30Z"
 }