{"id":"W2012995757","doi":"10.1161/circulationaha.108.812503","title":"Complementary Prognostic Values of Stress Myocardial Perfusion and Late Gadolinium Enhancement Imaging by Cardiac Magnetic Resonance in Patients With Known or Suspected Coronary Artery Disease","year":2009,"lang":"en","type":"article","venue":"Circulation","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":159,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"National Heart, Lung, and Blood Institute","keywords":"Medicine; Coronary artery disease; Magnetic resonance imaging; Cardiology; Gadolinium; Perfusion; Internal medicine; Myocardial perfusion imaging; Cardiac magnetic resonance imaging; Radiology; Cardiac magnetic resonance; Perfusion scanning","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":[0.001088634,0.0004998575,0.0004505073,0.0007690423,0.0002773503,0.0005548719,0.0004527371,0.0007493161,0.001123258],"category_scores_gemma":[0.005264651,0.0002661866,0.0004961939,0.0003979696,0.0004201232,0.0004915032,0.0004580537,0.0007307352,0.0002341387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002147161,"about_ca_system_score_gemma":0.000284794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009357196,"about_ca_topic_score_gemma":0.001659732,"domain_scores_codex":[0.9995422,0.0002034639,0.00004087858,0.00007706542,0.00005439782,0.00008191625],"domain_scores_gemma":[0.9966832,0.001592755,0.0008185359,0.000183253,0.0001888533,0.0005334528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002479789,0.0000223696,0.9986677,0.000003256973,0.00002446145,0.000132637,0.00001255695,0.00005399531,0.0001252632,0.000004787048,0.00002066953,0.0006843366],"study_design_scores_gemma":[0.0000285342,0.0003028915,0.9974891,0.000005867405,0.00007174256,0.0007933044,0.00007192061,0.001000989,0.0001142265,0.00004500063,0.0000698252,0.000006629754],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994604,0.0002310117,0.00006791214,0.00004626658,0.000005956367,0.000003053918,0.00004751442,0.000001806934,0.0001360212],"genre_scores_gemma":[0.9996724,0.00005470526,0.00008712231,0.00001354427,0.00002960879,0.000003071095,0.0001141528,8.653595e-7,0.00002452965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001123258,"threshold_uncertainty_score":0.005757332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006753880519266747,"score_gpt":0.2361202796184929,"score_spread":0.2293663990992262,"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."}}