{"id":"W2019195824","doi":"10.1148/radiol.2451061798","title":"A True Screening Environment for Review of Interval Breast Cancers: Pilot Study to Reduce Bias","year":2007,"lang":"en","type":"article","venue":"Radiology","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Medicine; Interval (graph theory); Oncology; Medical physics; Internal medicine; Gynecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1390456,0.0009116603,0.001052321,0.001580597,0.001358342,0.001653142,0.001569749,0.001587669,0.003446651],"category_scores_gemma":[0.2878674,0.001194759,0.001389048,0.0009695085,0.002137006,0.002328221,0.002035019,0.0009547526,0.0007837333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001878903,"about_ca_system_score_gemma":0.005428058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001186843,"about_ca_topic_score_gemma":0.001824141,"domain_scores_codex":[0.7960352,0.1664913,0.01294691,0.007859727,0.01457437,0.002092543],"domain_scores_gemma":[0.5019796,0.3163094,0.07192293,0.05987166,0.04401308,0.005903389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.05796477,0.02454837,0.7438418,0.004822352,0.001214411,0.003863868,0.02002723,0.0009772147,0.005631226,0.001003678,0.002210969,0.1338942],"study_design_scores_gemma":[0.01928389,0.3926306,0.5249865,0.001619746,0.003946283,0.009448558,0.005717386,0.00775664,0.01952229,0.0007923483,0.01381921,0.0004765565],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666141,0.001133061,0.01017178,0.0002726856,0.0001347791,0.01983071,0.000238655,0.00009529084,0.001508899],"genre_scores_gemma":[0.9663712,0.0003687451,0.01998192,0.00043407,0.0002093476,0.01216009,0.000129392,0.00003217615,0.0003129684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1390456,"threshold_uncertainty_score":0.7353523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1779698527102394,"score_gpt":0.3957443967222659,"score_spread":0.2177745440120265,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}