{"id":"W2116823276","doi":"10.1148/radiology.215.2.r00ma42563","title":"Standardized Abnormal Interpretation and Cancer Detection Ratios to Assess Reading Volume and Reader Performance in a Breast Screening Program","year":2000,"lang":"en","type":"article","venue":"Radiology","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":128,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Mammography; Cancer detection; Breast cancer screening; Breast cancer; Screening test; Cancer screening; Cancer; Nuclear medicine; Radiology; Internal medicine; Family medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002873382,0.0001093508,0.0002584855,0.0001131651,0.00007372467,0.00002597132,0.00003160241,0.00009178051,0.00007990418],"category_scores_gemma":[0.00002933287,0.0001018809,0.00001799371,0.0001847233,0.00006213803,0.0002273248,0.00001494993,0.0001744573,0.000002651248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001119177,"about_ca_system_score_gemma":0.00004351215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003906764,"about_ca_topic_score_gemma":0.0002125219,"domain_scores_codex":[0.9991211,0.00006087001,0.0002091129,0.0002559674,0.0001041751,0.0002488267],"domain_scores_gemma":[0.9996953,0.0000253008,0.00003880159,0.00008390485,0.00005349972,0.000103199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001499182,0.000007152458,0.3394691,0.00003070644,0.00001751353,0.00001409537,0.0006488221,0.0002862892,0.001506551,0.000003875449,0.00003589652,0.6564808],"study_design_scores_gemma":[0.001414087,0.0007096375,0.9491369,0.0003436757,0.00004189789,0.001580508,0.0002735895,0.04366427,0.00041883,0.000006957983,0.002262691,0.0001469844],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951839,0.0003711168,0.002834317,0.0005802263,0.00004800215,0.0004323926,0.000005425861,0.00005039645,0.0004942392],"genre_scores_gemma":[0.9956613,0.0003124169,0.003262465,0.0004004207,0.0001068819,0.0001262438,0.000007581546,0.0000101308,0.0001126078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6563338,"threshold_uncertainty_score":0.4154584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03488701039073428,"score_gpt":0.336862127221385,"score_spread":0.3019751168306507,"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."}}