{"id":"W2049109861","doi":"10.1586/erc.10.46","title":"Cardiac magnetic resonance imaging: current status and future directions","year":2010,"lang":"en","type":"review","venue":"Expert Review of Cardiovascular Therapy","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Libin Cardiovascular Institute of Alberta","funders":"","keywords":"Medicine; Magnetic resonance imaging; Cardiac imaging; Cardiac magnetic resonance imaging; Cardiology; Cardiac magnetic resonance; Myocardial perfusion imaging; Clinical imaging; Ventricular function; Diastolic function; Cardiac function curve; Radiology; Internal medicine; Perfusion; Diastole; Heart failure","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":[0.002111177,0.000941677,0.001801758,0.00187022,0.0003202641,0.001747369,0.001145783,0.002228281,0.006821906],"category_scores_gemma":[0.00190102,0.0003337341,0.0005038317,0.001890596,0.001112191,0.003101437,0.0008166902,0.002375412,0.004169413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007659157,"about_ca_system_score_gemma":0.001677271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00108372,"about_ca_topic_score_gemma":0.002194878,"domain_scores_codex":[0.9996237,0.00008714839,0.000060249,0.0000667949,0.0001284841,0.00003365078],"domain_scores_gemma":[0.9981189,0.001008675,0.0001818092,0.00004430211,0.0004499086,0.0001963285],"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":[0.00008344722,0.00008512179,0.0002419628,0.007390772,0.00003886423,0.0001946741,0.00005049792,0.0001999404,0.000970699,0.002524488,0.03294092,0.9552786],"study_design_scores_gemma":[0.00003180286,0.0001439894,0.001150045,0.006210395,0.0001267936,0.002229339,0.000173685,0.0002067535,0.0003730799,0.004645023,0.9846681,0.0000410954],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007620562,0.9976885,0.0001421002,0.001182237,0.0002393129,0.000002857325,0.000009389014,0.000009524798,0.0006498841],"genre_scores_gemma":[0.0005180143,0.9976717,0.0003287852,0.0004628596,0.0006338218,0.000005409282,0.00001717677,0.000002112278,0.0003601889],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006821906,"threshold_uncertainty_score":0.02282155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01760017056822984,"score_gpt":0.3332242266465879,"score_spread":0.315624056078358,"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."}}