{"id":"W2979128007","doi":"10.1002/jmri.26909","title":"MRI safety and devices: An update and expert consensus","year":2019,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance Imaging","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; University of Toronto","funders":"","keywords":"CLARITY; Magnetic resonance imaging; Delphi method; Medical physics; Patient safety; Medicine; Computer science; Radiology; Health care; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1561724,0.001077459,0.002377349,0.01101719,0.002242567,0.005769602,0.005562437,0.008323902,0.004194081],"category_scores_gemma":[0.1694644,0.001138415,0.002704764,0.008183176,0.003507929,0.009174671,0.006664144,0.008851571,0.002082023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006868158,"about_ca_system_score_gemma":0.02146772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00321774,"about_ca_topic_score_gemma":0.00420393,"domain_scores_codex":[0.8637835,0.05303331,0.03691001,0.00480461,0.03938941,0.002079153],"domain_scores_gemma":[0.7161635,0.1422025,0.01880543,0.008781012,0.1084888,0.005558775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001450335,0.0002024272,0.002684823,0.02277602,0.0002924575,0.0006556079,0.006582552,0.0006988594,0.001190116,0.01114251,0.1537928,0.7998366],"study_design_scores_gemma":[0.00008215825,0.0001606923,0.005963265,0.09454527,0.0003054143,0.002651075,0.007558422,0.000884206,0.000819646,0.01848753,0.8683413,0.0002011712],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01240329,0.5514844,0.02729306,0.3495512,0.0154065,0.001649947,0.001193567,0.0002568871,0.04076124],"genre_scores_gemma":[0.1198116,0.6674128,0.1000939,0.08579603,0.008304093,0.003158996,0.00373236,0.0003048328,0.01138541],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.1561724,"threshold_uncertainty_score":0.8259285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00799608919650005,"score_gpt":0.2658727278105241,"score_spread":0.257876638614024,"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."}}