{"id":"W4210365958","doi":"10.3390/tomography8010027","title":"Missed Breast Cancers on MRI in High-Risk Patients: A Retrospective Case–Control Study","year":2022,"lang":"en","type":"article","venue":"Tomography","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; University of Toronto; Université de Sherbrooke","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Breast cancer; Washout; Malignancy; Breast MRI; Biopsy; Radiology; Lesion; Magnetic resonance imaging; Retrospective cohort study; Cancer; Internal medicine; Pathology; Mammography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009729647,0.0004605969,0.0006782752,0.001113666,0.0006952818,0.0006821693,0.0005210405,0.000842361,0.001962347],"category_scores_gemma":[0.003802563,0.0007368553,0.0003690805,0.0008219676,0.0004745278,0.0007094571,0.0004576576,0.0005481874,0.0003248596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002681937,"about_ca_system_score_gemma":0.0001971911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00159396,"about_ca_topic_score_gemma":0.001405292,"domain_scores_codex":[0.9991359,0.0002236841,0.00008793039,0.000276015,0.0001703436,0.0001062415],"domain_scores_gemma":[0.9976545,0.0006333804,0.0009916716,0.0002614496,0.0001794535,0.0002796582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001312382,0.0000628387,0.9985951,0.00001012264,0.00003521105,0.0004126189,0.00007647699,0.00001231072,0.0001480717,0.00001026303,0.00003456734,0.0004713431],"study_design_scores_gemma":[0.00003267717,0.0004673891,0.9942061,0.00001102954,0.00007719363,0.004391654,0.0002626725,0.0002218478,0.00008191336,0.00002581708,0.0002129111,0.000008940585],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995459,0.0001741884,0.00008681884,0.00001041135,0.000003610907,0.000009751791,0.00004698069,0.000002226064,0.0001201176],"genre_scores_gemma":[0.9996547,0.00006990316,0.00008622788,0.00001579583,0.00001387715,0.000009527618,0.00009254272,0.000001843546,0.00005560191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001962347,"threshold_uncertainty_score":0.006564677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006385185585675372,"score_gpt":0.2413424647155033,"score_spread":0.2349572791298279,"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."}}