{"id":"W3160952166","doi":"10.1016/j.jcct.2021.04.005","title":"Prognostic value of noninvasive combined anatomic/functional assessment by cardiac CT in patients with suspected coronary artery disease — Comparison with invasive coronary angiography and nuclear myocardial perfusion imaging for the five-year-follow up of the CORE320 multicenter study","year":2021,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health; Canon Medical Systems Corporation","keywords":"Medicine; Coronary artery disease; Myocardial perfusion imaging; Cardiology; Radiology; Internal medicine; Perfusion; Perfusion scanning; Angiography; Coronary angiography; 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":[],"consensus_categories":[],"category_scores_codex":[0.0005271087,0.0003328202,0.001240001,0.0003778069,0.0001675911,0.00004880976,0.000172001,0.00003956625,0.000002751515],"category_scores_gemma":[0.0001382221,0.0002080785,0.002135624,0.0009572591,0.000364945,0.000135105,0.000119185,0.0004349575,8.403721e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007241221,"about_ca_system_score_gemma":0.0004227446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003516057,"about_ca_topic_score_gemma":0.000004073032,"domain_scores_codex":[0.9967734,0.0005339681,0.0006863305,0.0003778934,0.001346255,0.0002822],"domain_scores_gemma":[0.9961199,0.0009170756,0.0005111434,0.000567063,0.001690018,0.0001947916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004589281,0.001614713,0.9754143,0.0001218818,0.01250169,0.0002759403,0.0004421085,0.003441764,0.00003439867,0.00001022191,0.0007854882,0.0007681846],"study_design_scores_gemma":[0.02715676,0.001366673,0.9582977,0.0007350695,0.008654064,0.000104157,0.002192651,0.001142032,0.00006877232,0.000006992768,0.00006111059,0.0002139935],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887493,0.006973742,0.001256887,0.0001279062,0.0006245102,0.002080801,0.0001603157,0.00001392358,0.00001257858],"genre_scores_gemma":[0.9989119,0.0001183587,0.0006483115,0.00007615126,0.00007494525,0.00002515759,0.00009452725,0.00004969,9.846891e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02256748,"threshold_uncertainty_score":0.8485196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00506666124250379,"score_gpt":0.208355544182898,"score_spread":0.2032888829403942,"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."}}