{"id":"W3041870945","doi":"10.1097/hco.0000000000000776","title":"Stress cardiac MRI in stable coronary artery disease","year":2020,"lang":"en","type":"review","venue":"Current Opinion in Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Coronary artery disease; Medicine; Fractional flow reserve; CAD; Stress testing (software); Coronary angiography; Cardiology; Radiology; Cardiac magnetic resonance; Internal medicine; Stress Echocardiography; Magnetic resonance imaging; Angiography; Cardiac magnetic resonance imaging; Myocardial infarction","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":[0.0007680075,0.0008492221,0.001760124,0.002647889,0.0001957977,0.001197008,0.0008604918,0.001128501,0.003901577],"category_scores_gemma":[0.002620107,0.0002981261,0.0007117772,0.00201278,0.0004853861,0.001133895,0.0006365976,0.001154206,0.00143439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004263684,"about_ca_system_score_gemma":0.001315725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008823091,"about_ca_topic_score_gemma":0.001350835,"domain_scores_codex":[0.99971,0.00005762155,0.00007150316,0.00004930813,0.0000892625,0.00002226832],"domain_scores_gemma":[0.9987069,0.0007478634,0.0002577287,0.00001943788,0.000212651,0.00005534298],"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":[0.00008838618,0.00002818496,0.0004573398,0.06872176,0.0001889555,0.00029906,0.00006810545,0.0001940558,0.0005343653,0.001027827,0.04176093,0.8866311],"study_design_scores_gemma":[0.00005762708,0.0001754108,0.006119206,0.09236241,0.0009832415,0.008684316,0.0001781303,0.0002171476,0.0004769325,0.002162422,0.8885306,0.00005261201],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006140942,0.999129,0.00002904009,0.0002068307,0.0002149743,0.00000431437,0.00001197779,0.000002655847,0.0003397712],"genre_scores_gemma":[0.0005280399,0.9987291,0.00005074825,0.0002260733,0.0003235169,0.000004885401,0.00002093378,0.00000121815,0.0001155708],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003901577,"threshold_uncertainty_score":0.01305205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07939497513276964,"score_gpt":0.3868917507076892,"score_spread":0.3074967755749195,"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."}}