{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001338007,0.001238746,0.001035902,0.0008533705,0.0003729966,0.001138963,0.0009537721,0.001461449,0.0007794456],"category_scores_gemma":[0.003689653,0.000429539,0.001023804,0.0006959984,0.0005732491,0.0009990223,0.0007738172,0.0009400844,0.0002096415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005360098,"about_ca_system_score_gemma":0.0004921479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004614861,"about_ca_topic_score_gemma":0.005486115,"domain_scores_codex":[0.9993522,0.0002517446,0.00004465774,0.0001521737,0.0001006352,0.00009862587],"domain_scores_gemma":[0.997588,0.0006721977,0.0006210385,0.0001518797,0.0002881824,0.000678779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002464228,0.0001138088,0.9954121,0.000008952983,0.0001813858,0.00009363986,0.00003003633,0.0001195689,0.0003094077,0.00001137855,0.00007657985,0.001178984],"study_design_scores_gemma":[0.0001118898,0.0004714629,0.9980181,0.000005735911,0.0002157889,0.0001819904,0.0000882218,0.0007282476,0.00007032951,0.00002760259,0.00007056243,0.00001001149],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989552,0.0005114747,0.00004129179,0.00006987044,0.00001517525,0.000005251239,0.0001505733,0.000002378847,0.0002487854],"genre_scores_gemma":[0.9992083,0.000127664,0.00005130568,0.00002843132,0.00004803186,0.000005943801,0.0004297252,0.000002157876,0.00009861938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004614861,"threshold_uncertainty_score":0.009176016,"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."}}