{"id":"W1965160794","doi":"10.1503/cmaj.060566","title":"Clinical applications of cardiovascular magnetic resonance imaging","year":2006,"lang":"en","type":"review","venue":"Canadian Medical Association Journal","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Magnetic resonance imaging; Medicine; Myocarditis; Cardiac magnetic resonance imaging; Radiology; Cardiology; Perfusion; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009271796,0.001013627,0.001353268,0.003225666,0.0005214213,0.001086605,0.0009057662,0.00166965,0.004837851],"category_scores_gemma":[0.001434079,0.0002475789,0.0004961712,0.002015331,0.0008219093,0.00093899,0.0006908038,0.00154932,0.003436043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001041784,"about_ca_system_score_gemma":0.001912675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00414829,"about_ca_topic_score_gemma":0.005306267,"domain_scores_codex":[0.9994951,0.00007112065,0.00004670424,0.0000758748,0.0002717627,0.00003931459],"domain_scores_gemma":[0.999252,0.0003204358,0.00005418112,0.00002799659,0.0002833197,0.00006210948],"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":[0.00004264357,0.00004612632,0.0004800106,0.005444973,0.00003886731,0.001057005,0.00009840461,0.0001917107,0.002576095,0.003396889,0.02231619,0.9643111],"study_design_scores_gemma":[0.00001759472,0.00008333,0.002470885,0.002281869,0.00004985009,0.009986149,0.00009319728,0.0001076627,0.001354837,0.002898571,0.980623,0.00003305428],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002066691,0.9946944,0.0003698944,0.000459245,0.0002395025,0.00000666091,0.00001170322,0.00001304991,0.003998948],"genre_scores_gemma":[0.003312922,0.9925873,0.001157929,0.0004429193,0.0006050226,0.0000126053,0.0000336228,0.000004104737,0.001843606],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004837851,"threshold_uncertainty_score":0.01618421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01568838095916202,"score_gpt":0.3199703525836699,"score_spread":0.3042819716245079,"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."}}