Append GitHub ML recall sample 20260924T180558000000Z-bb4f996c

coverage/20260924T180558000000Z-bb4f996c.json

@@ -0,0 +1,460 @@
+{
+  "complete_sweep": true,
+  "date_field": "created",
+  "end": "2026-09-24",
+  "mode": "historical-sample",
+  "queries": [
+    {
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+      "coverage_gap_reason": "first_page_sample_only",
+      "incomplete_results": false,
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+      "query": "archaeology \"remote sensing\" in:name,description,readme fork:true created:2026-01-01..2026-09-24",
+      "query_id": "recall.archaeological-remote-sensing",
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+      "year": 2026
+    },
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+      "pages_scanned": 1,
+      "query": "\"case outcome prediction\" in:name,description,readme fork:true created:2026-01-01..2026-09-24",
+      "query_id": "recall.case-outcome-prediction",
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+    },
+    {
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+      "query": "\"computational linguistics\" model in:name,description,readme fork:true created:2026-01-01..2026-09-24",
+      "query_id": "recall.computational-linguistics",
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+    },
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+      "pages_scanned": 1,
+      "query": "\"computational social science\" in:name,description,readme fork:true created:2026-01-01..2026-09-24",
+      "query_id": "recall.computational-social-science",
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+      "year": 2026
+    },
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+      "query": "\"digital humanities\" NLP in:name,description,readme fork:true created:2026-01-01..2026-09-24",
+      "query_id": "recall.digital-humanities-nlp",
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+    },
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+      "query": "\"disease surveillance\" machine learning in:name,description,readme fork:true created:2026-01-01..2026-09-24",
+      "query_id": "recall.disease-surveillance",
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+    },
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+      "pages_scanned": 1,
+      "query": "\"educational recommendation\" in:name,description,readme fork:true created:2026-01-01..2026-09-24",
+      "query_id": "recall.educational-recommendation",
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+      "query_id": "recall.epidemic-forecasting",
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+    },
+    {
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+      "pages_scanned": 1,
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+      "query_id": "recall.epidemiological-modeling",
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+      "sampled_first_page": true,
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+      "status": "sampled",
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+      "year": 2026
+    },
+    {
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+      "query_id": "recall.grid-stability-prediction",
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+    },
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+    },
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+      "query_id": "recall.infrastructure-damage-detection",
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+    },
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+      "query": "\"insurance risk\" machine learning in:name,description,readme fork:true created:2026-01-01..2026-09-24",
+      "query_id": "recall.insurance-risk-modeling",
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+    },
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+      "pages_scanned": 1,
+      "query": "\"legal document classification\" in:name,description,readme fork:true created:2026-01-01..2026-09-24",
+      "query_id": "recall.legal-document-classification",
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+      "status": "sampled",
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+      "year": 2026
+    },
+    {
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+      "incomplete_results": false,
+      "pages_scanned": 1,
+      "query": "legal NLP in:name,description,readme fork:true created:2026-01-01..2026-09-24",
+      "query_id": "recall.legal-nlp",
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+    },
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+      "query": "\"artificial intelligence\" in:name,description,readme fork:true created:2026-01-01..2026-09-24",
+      "query_id": "recall.name.artificial-intelligence",
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+      "query": "\"deep learning\" in:name,description,readme fork:true created:2026-01-01..2026-09-24",
+      "query_id": "recall.name.deep-learning",
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+      "year": 2026
+    },
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+      "query_id": "recall.name.diffusion-model",
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+      "year": 2026
+    },
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+      "query": "foundation model in:name,description,readme fork:true created:2026-01-01..2026-09-24",
+      "query_id": "recall.name.foundation-model",
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+      "query": "\"language model\" in:name,description,readme fork:true created:2026-01-01..2026-09-24",
+      "query_id": "recall.name.language-model",
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+    },
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+      "query": "\"large language model\" in:name,description,readme fork:true created:2026-01-01..2026-09-24",
+      "query_id": "recall.name.large-language-model",
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+      "year": 2026
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+      "pages_scanned": 1,
+      "query": "\"machine learning\" in:name,description,readme fork:true created:2026-01-01..2026-09-24",
+      "query_id": "recall.name.machine-learning",
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+      "pages_scanned": 1,
+      "query": "\"neural network\" in:name,description,readme fork:true created:2026-01-01..2026-09-24",
+      "query_id": "recall.name.neural-network",
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+    },
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+      "query": "transformer model in:name,description,readme fork:true created:2026-01-01..2026-09-24",
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+      "query": "\"player tracking\" computer vision in:name,description,readme fork:true created:2026-01-01..2026-09-24",
+      "query_id": "recall.player-tracking",
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+    },
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+      "query": "\"population health prediction\" in:name,description,readme fork:true created:2026-01-01..2026-09-24",
+      "query_id": "recall.population-health-prediction",
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+      "pages_scanned": 1,
+      "query": "\"social media analysis\" NLP in:name,description,readme fork:true created:2026-01-01..2026-09-24",
+      "query_id": "recall.social-media-analysis",
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+    },
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+      "query": "\"sports analytics\" model in:name,description,readme fork:true created:2026-01-01..2026-09-24",
+      "query_id": "recall.sports-analytics",
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+      "query": "\"structural health monitoring\" machine learning in:name,description,readme fork:true created:2026-01-01..2026-09-24",
+      "query_id": "recall.structural-health-monitoring",
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+      "status": "sampled",
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+      "year": 2026
+    },
+    {
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+      "coverage_gap_reason": "first_page_sample_only",
+      "incomplete_results": false,
+      "pages_scanned": 1,
+      "query": "\"student performance prediction\" in:name,description,readme fork:true created:2026-01-01..2026-09-24",
+      "query_id": "recall.student-performance-prediction",
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+      "status": "sampled",
+      "total_count": 11559,
+      "year": 2026
+    }
+  ],
+  "requests_used": 32,
+  "run_id": "20260924T180558000000Z-bb4f996c",
+  "start_year": 2026,
+  "started_at": "2026-09-24T18:05:58Z"
+}

runs/20260924T180558000000Z-bb4f996c.json

@@ -0,0 +1,19 @@
+{
+  "complete_sweep": true,
+  "coverage_file": "coverage/20260924T180558000000Z-bb4f996c.json",
+  "date_field": "created",
+  "end": "2026-09-24",
+  "mode": "historical-sample",
+  "observation_count": 2631,
+  "observations": "data/observations/2026/09/24/20260924T180558000000Z-bb4f996c.jsonl",
+  "prepared_at": "2026-09-24T18:05:58Z",
+  "publication_parent": "2eab86e9a963fa12832e78164d9c25b8d9d1b2a0",
+  "publication_revision": "refs/pr/1",
+  "query_count": 32,
+  "repo": "modelomics/gh-ml",
+  "requests_used": 32,
+  "run_id": "20260924T180558000000Z-bb4f996c",
+  "source_commit": "1a894b9d07bc14d7c34f853be7952813de51bbd2",
+  "start_year": 2026,
+  "unique_github_ids": 2631
+}