{"id":"W4220866376","doi":"10.1177/08465371221084047","title":"The Canadian Society of Breast Imaging Breast Magnetic Resonance Imaging Working Group Report","year":2022,"lang":"en","type":"letter","venue":"Canadian Association of Radiologists Journal","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Bayer (Canada); University of Alberta; Western University; University of Toronto; BC Cancer Agency; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Medicine; Magnetic resonance imaging; Breast imaging; Breast MRI; Medical physics; Mammography; Radiology; Breast cancer; Internal 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001313736,0.0006917581,0.0006061982,0.00146074,0.006082416,0.00312515,0.001423908,0.03041782,0.02173078],"category_scores_gemma":[0.0116961,0.0004759305,0.0007370849,0.001096358,0.002051207,0.001188333,0.0009766471,0.01450785,0.006595627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01560132,"about_ca_system_score_gemma":0.02621726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2867453,"about_ca_topic_score_gemma":0.4566398,"domain_scores_codex":[0.9980347,0.0001820478,0.000142272,0.0001522825,0.0009113865,0.0005773608],"domain_scores_gemma":[0.9937562,0.001037452,0.0002864421,0.0001284846,0.00307013,0.001721338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008577844,0.00001615885,0.0008510535,0.00001341974,0.000004007462,0.004471797,0.00005035578,0.00002642396,0.00005070757,0.001091331,0.9910458,0.002370305],"study_design_scores_gemma":[0.00005894069,0.00002455364,0.003577162,0.0002131067,0.00002617753,0.007537256,0.0007143001,0.0003719628,0.0001237162,0.002946567,0.9843618,0.00004445955],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.001645917,0.001130853,0.0001066575,0.9058781,0.0315712,0.00006211887,0.0002866942,0.00003975755,0.05927872],"genre_scores_gemma":[0.02819915,0.004382249,0.0006513793,0.7503729,0.05525989,0.0001049661,0.0003972032,0.00008709292,0.1605452],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.2867453,"threshold_uncertainty_score":0.5701524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01236907871347289,"score_gpt":0.2403095576800488,"score_spread":0.2279404789665759,"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."}}