{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003804619,0.0002359348,0.0004648048,0.000711369,0.0002094777,0.00001714057,0.0001427565,0.00004423746,0.001277049],"category_scores_gemma":[0.00002820081,0.0002328328,0.0001736568,0.001628928,0.00005737071,0.00005263315,0.00005444539,0.0006312755,0.000009006771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001174752,"about_ca_system_score_gemma":0.0001067818,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01327112,"about_ca_topic_score_gemma":0.001906564,"domain_scores_codex":[0.9977426,0.0002910005,0.0003336609,0.0005901651,0.000660668,0.0003819003],"domain_scores_gemma":[0.9988692,0.0001524018,0.0001680879,0.0005455813,0.0001080654,0.0001566484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001000274,0.002000052,0.9805551,0.00001288533,0.0003386784,0.001031548,0.001441726,0.0004359167,0.000003215294,0.000025254,0.01101985,0.002135457],"study_design_scores_gemma":[0.01315817,0.004754201,0.9784353,0.00003727795,0.0003028635,0.00007436163,0.001936445,0.00008146751,0.00001125847,0.00006422562,0.0009196722,0.0002247801],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938276,0.0001435322,0.000004091643,0.001410494,0.0004645035,0.002088771,0.001178304,0.00009719838,0.0007854346],"genre_scores_gemma":[0.9972603,0.00004869248,0.00004076715,0.001243618,0.0001158958,0.001200217,0.00001804953,0.00004497338,0.00002754054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0121579,"threshold_uncertainty_score":0.9996359,"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."}}