{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003153565,0.0005483916,0.003924303,0.0004551661,0.00002713655,0.0000190405,0.000186895,0.0003091675,0.00001766091],"category_scores_gemma":[0.000424952,0.000509161,0.001138245,0.0004822816,0.0001379861,0.00004941169,0.0002300417,0.001278076,0.0001594298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004280193,"about_ca_system_score_gemma":0.001120663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008943,"about_ca_topic_score_gemma":4.025634e-7,"domain_scores_codex":[0.9967344,0.0006853694,0.0008700159,0.0008644616,0.0002664583,0.000579304],"domain_scores_gemma":[0.9980056,0.00067766,0.0001744316,0.0006830725,0.00005937656,0.0003998376],"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":[0.00007168914,0.0001516626,0.1845005,0.04460718,0.000328829,0.0005642062,0.00005304078,0.00006232205,2.239314e-8,0.0001096039,0.05984609,0.7097048],"study_design_scores_gemma":[0.000685992,0.00005000226,0.01888888,0.02428686,0.0006021208,0.00009022831,0.00002394275,0.00001210134,1.580942e-8,0.00002283468,0.9549442,0.0003928195],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000007379162,0.9786585,0.00006266952,0.0001987345,0.01786355,0.001405131,0.001274869,0.00006992284,0.0004592513],"genre_scores_gemma":[0.000119746,0.9919479,0.00001757497,0.00002657588,0.003185976,0.0004670485,0.004145695,0.00007246956,0.0000169794],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8950981,"threshold_uncertainty_score":0.999736,"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."}}