{"id":"W4392745606","doi":"10.1016/j.jcmg.2023.11.015","title":"Comparative Prognostic Utility of Coronary CT and Invasive Angiography","year":2024,"lang":"en","type":"letter","venue":"JACC. Cardiovascular imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health; HLS Therapeutics; Novo Nordisk; Relypsa; Sanofi; Abiomed; InfraRedx; Bill and Melinda Gates Foundation; Arbor Pharmaceuticals; Biogen; Sunovion; Daiichi Sankyo Europe; Gilead Sciences; Eli Lilly and Company; AstraZeneca; Patient-Centered Outcomes Research Institute; Philips; Amgen; American Regent; Omron Healthcare; Abbott Vascular; St. Jude Medical; Abbott Laboratories","keywords":"Coronary angiography; Medicine; Angiography; Radiology; Cardiology; Internal medicine; Myocardial infarction","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006137626,0.0006552529,0.002303232,0.0006895797,0.00008626748,0.0001088438,0.0001614622,0.0001598429,0.00002684798],"category_scores_gemma":[0.0003847037,0.0006149738,0.004483688,0.0005925388,0.0006138519,0.0001217397,0.0002770387,0.001801089,0.00003985696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000642037,"about_ca_system_score_gemma":0.0003310643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002199988,"about_ca_topic_score_gemma":0.000001628178,"domain_scores_codex":[0.9964683,0.000279596,0.0005838836,0.001053604,0.001037472,0.0005771128],"domain_scores_gemma":[0.9971907,0.0008513088,0.000154288,0.001237618,0.0004071182,0.0001589366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002443615,0.00004549326,0.199494,0.003341179,0.01111571,0.01377709,0.0003182197,0.000007331181,0.0000124936,0.00000287083,0.7679037,0.003957455],"study_design_scores_gemma":[0.001908612,0.0000932733,0.2830852,0.004053091,0.0271362,0.008627955,0.0004867123,0.0002521834,0.0004988036,0.0002843118,0.6725256,0.001048058],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03915538,0.8235483,0.0008851279,0.1078321,0.003052989,0.00430666,0.0009783172,0.0007177792,0.01952335],"genre_scores_gemma":[0.9373347,0.001084705,0.0008184438,0.05693532,0.002364369,0.0001350118,0.001004609,0.0001794853,0.0001433278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8981794,"threshold_uncertainty_score":0.9996302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02150525479937824,"score_gpt":0.2626076888191003,"score_spread":0.2411024340197221,"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."}}