{"id":"W2969661837","doi":"10.1016/j.amjcard.2019.07.045","title":"Risk Reclassification With Coronary Computed Tomography Angiography-Visualized Nonobstructive Coronary Artery Disease According to 2018 American College of Cardiology/American Heart Association Cholesterol Guidelines (from the Coronary Computed Tomography Angiography Evaluation for Clinical Outcomes : An International Multicenter Registry [CONFIRM])","year":2019,"lang":"en","type":"article","venue":"The American Journal of Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of Ottawa","funders":"GE Healthcare; NIH Clinical Center; National Institutes of Health; Dalio Foundation; National Heart, Lung, and Blood Institute; General Electric","keywords":"Medicine; Mace; Cardiology; Internal medicine; Coronary artery disease; Guideline; Myocardial infarction; Statin; Asymptomatic; Revascularization; Radiology; Percutaneous coronary intervention; Pathology","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":[0.001616095,0.0007803199,0.001050771,0.00157469,0.0003617212,0.001120349,0.0007463728,0.000786645,0.00308968],"category_scores_gemma":[0.003974378,0.0002344513,0.002248242,0.001025568,0.0002271222,0.0006323948,0.0006802619,0.001355483,0.0008231665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002877791,"about_ca_system_score_gemma":0.0007248572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003761534,"about_ca_topic_score_gemma":0.008040137,"domain_scores_codex":[0.9988785,0.0002327699,0.0001769151,0.0002925018,0.0002424412,0.000176824],"domain_scores_gemma":[0.9980606,0.0003481624,0.0006523629,0.0002959365,0.0004387146,0.000204162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006596243,0.00009781278,0.9840609,0.00007589394,0.000937508,0.0001195345,0.00003676332,0.0003026043,0.0002347595,0.0001832853,0.007744003,0.005547238],"study_design_scores_gemma":[0.0001779049,0.0001854109,0.9934788,0.00004831477,0.0006684332,0.0004180087,0.0001041029,0.001926299,0.000256141,0.0004606622,0.002247338,0.00002861955],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9598609,0.002588607,0.003446793,0.001016838,0.0006173775,0.0003137842,0.02284048,0.0002818143,0.009033342],"genre_scores_gemma":[0.9736302,0.0006732824,0.002487336,0.0004444692,0.0005597556,0.0002856107,0.01931753,0.00007647023,0.002525237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003761534,"threshold_uncertainty_score":0.01033598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03984503765404145,"score_gpt":0.3735156730174183,"score_spread":0.3336706353633768,"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."}}