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calibration mixture, including public OOS in natural track." }, "natural_retrieval|k10|normalized_entropy": { "threshold": 0.2770197728264035, "n_cal_covered": 299, "n_cal_missing": 51, "test_f": { "n_text": 295, "value": 0.0711864406779661, "bootstrap95": [ 0.04406779661016949, 0.1016949152542373 ] }, "test_missing_inscope_d": { "n_text": 5, "value": 0.6, "bootstrap95": [ 0.2, 1.0 ] }, "test_global_oos_d": { "n_text": 100, "value": 0.62, "bootstrap95": [ 0.53, 0.7102499999999986 ] }, "note": "Calibration-only threshold; missing pool uses the recorded calibration mixture, including public OOS in natural track." } }, "sha256": { "manifest.json": "75c1302c942fc9cf8b1464b1b89147af765e0406d6498d4fe9d7fca0305fef87", "cases.jsonl": "a3cf3cfda039979c1a1e410423290ddd5844a9dd69f29d659e55ee7332c300d4", "requests.jsonl": "8fe8d2be840a3af479cf56d9c19a9909c0349b1c2dd034dc50203601ef6c2190", "predictions.jsonl": "fdf7ae1d8c69a92e5e978aa74f1863edbf20c68fd0dd1d3a1ff31b7bdcd4271d" }, "notes": [ "Artificial omission, naturally missed in-scope candidates and global OOS are separate populations.", "No gold repair in natural retrieval; selected query texts excluded from training retrieval corpus.", "Rates are conditional on each stated subset; no pooling into a deployment OOS prevalence estimate.", "2000 text bootstrap draws, marginal. Synthetic present/absent copies are matched by query; per-track D/F intervals are marginal rates.", "No invented probabilities for the discrete Qwen track." ] }