{"id":"W2724605733","doi":"10.3747/co.24.3441","title":"Breast Magnetic Resonance Imaging: Are Those Who Need It Getting It?","year":2017,"lang":"en","type":"article","venue":"Current Oncology","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal General Hospital; Université de Montréal","funders":"","keywords":"Medicine; Breast MRI; Breast cancer; Magnetic resonance imaging; Audit; Breast imaging; Radiology; Mammography; Cancer; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00373222,0.0002370928,0.0007504387,0.001443226,0.001213902,0.002576062,0.0008048433,0.002334005,0.006819781],"category_scores_gemma":[0.03197376,0.0003211067,0.0004818467,0.002563112,0.001418153,0.005034057,0.0011277,0.002360851,0.002504011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009393225,"about_ca_system_score_gemma":0.002150504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004357708,"about_ca_topic_score_gemma":0.006558191,"domain_scores_codex":[0.996538,0.0009032084,0.0005218388,0.0003433604,0.001113077,0.000580401],"domain_scores_gemma":[0.9854003,0.004220326,0.005273255,0.0004137938,0.002504262,0.002188028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003745812,0.0002706153,0.5935476,0.001186198,0.00007120125,0.001534211,0.003794317,0.00008815033,0.0006662041,0.001603973,0.07300939,0.3238535],"study_design_scores_gemma":[0.0000893825,0.0007014351,0.6801212,0.007952927,0.0002966563,0.02206285,0.05049461,0.0004059487,0.0007411169,0.01367619,0.2232626,0.0001950708],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3966632,0.1551254,0.001954478,0.4127426,0.002990977,0.0001530343,0.00133191,0.0001184884,0.02891997],"genre_scores_gemma":[0.8196399,0.102438,0.002713482,0.06609869,0.004153625,0.0001445508,0.001066593,0.00007990463,0.00366532],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006819781,"threshold_uncertainty_score":0.02281445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.102951328854132,"score_gpt":0.4252956726808842,"score_spread":0.3223443438267522,"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."}}