{"id":"W4224862650","doi":"10.1148/radiol.212361","title":"Contralateral Breast Screening with Preoperative MRI: Long-Term Outcomes for Newly Diagnosed Breast Cancer","year":2022,"lang":"en","type":"article","venue":"Radiology","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; Princess Margaret Cancer Centre; Women's College Hospital; Toronto General Hospital; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Breast cancer; Breast MRI; Hazard ratio; Proportional hazards model; Magnetic resonance imaging; Mammography; Retrospective cohort study; Radiology; Cancer; Internal medicine; Oncology; Surgery; Confidence interval","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007534178,0.000274039,0.0003805659,0.00004075021,0.0003604886,0.0000153814,0.0002008565,0.00007469016,0.000144227],"category_scores_gemma":[0.000007194496,0.0002148024,0.0001192415,0.00006710608,0.0001639611,0.000006871068,0.0001502876,0.0001104757,0.000001178112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008441167,"about_ca_system_score_gemma":0.0001072764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002517987,"about_ca_topic_score_gemma":0.0004780818,"domain_scores_codex":[0.9986248,0.0001162138,0.0001840347,0.0005293462,0.00009586231,0.0004497462],"domain_scores_gemma":[0.9994209,0.00005641793,0.0001049388,0.0002548803,0.00008613527,0.00007669142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001597045,0.000109393,0.9889435,0.00001255772,0.001016787,0.00003248984,0.000218733,0.001090017,0.001961701,0.0000626684,0.001789803,0.003165287],"study_design_scores_gemma":[0.004967329,0.0004729335,0.9916723,0.000009872746,0.0001240038,0.00110554,0.0001152696,0.00003138905,0.0004386796,0.000006890671,0.0007637469,0.0002920547],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989469,0.0009875507,0.002088091,0.004254221,0.0002806375,0.0006946013,0.002147408,0.00003231086,0.00004619454],"genre_scores_gemma":[0.9953243,0.00009079461,0.0005485212,0.001002566,0.0003176252,0.001696482,0.0005646303,0.00004260538,0.0004124448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005855344,"threshold_uncertainty_score":0.8759387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01153569886103787,"score_gpt":0.2706801462831822,"score_spread":0.2591444474221443,"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."}}