{"id":"W4389899780","doi":"10.1161/jaha.123.031601","title":"Simplified Approach to Predicting Obstructive Coronary Disease With Integration of Coronary Calcium: Development and External Validation","year":2023,"lang":"en","type":"article","venue":"Journal of the American Heart Association","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Libin Cardiovascular Institute of Alberta; University of Calgary","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health; Dr. Miriam and Sheldon G. Adelson Medical Research Foundation","keywords":"Medicine; Coronary artery disease; Chest pain; CAD; Receiver operating characteristic; Internal medicine; Cardiology; Population; Engineering","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":[0.02294024,0.001451204,0.001401728,0.002017581,0.0004643989,0.001626588,0.002222458,0.001067727,0.002161051],"category_scores_gemma":[0.05010514,0.0005999529,0.001259048,0.001008846,0.0006107995,0.0009261682,0.002077071,0.001554594,0.0007937851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001059119,"about_ca_system_score_gemma":0.002147461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01108482,"about_ca_topic_score_gemma":0.006973715,"domain_scores_codex":[0.9916632,0.005587209,0.0005083649,0.0009445181,0.001110906,0.0001858156],"domain_scores_gemma":[0.9754913,0.01759384,0.0009518926,0.001933582,0.003680614,0.0003486999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001671779,0.0006553839,0.1522732,0.0003863376,0.001357759,0.0005153229,0.0005440022,0.4875138,0.004795826,0.005347446,0.005631174,0.3393081],"study_design_scores_gemma":[0.0001109844,0.0002892912,0.0125506,0.00004122598,0.00009808829,0.0001781911,0.00002935616,0.9829207,0.0007398569,0.002052233,0.0009583207,0.00003116833],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2125684,0.0006841455,0.7811077,0.0003322532,0.0000663176,0.0009865399,0.00109551,0.001621714,0.001537495],"genre_scores_gemma":[0.642392,0.0002757122,0.3528142,0.0002066346,0.00005763088,0.001021377,0.002228246,0.000137888,0.0008662806],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02294024,"threshold_uncertainty_score":0.1213211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02280198330561671,"score_gpt":0.2904454878124266,"score_spread":0.2676435045068098,"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."}}