{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002805806,0.0004701389,0.002312037,0.0007148276,0.0001941013,0.00003812497,0.0006429814,0.00009686175,0.0000055317],"category_scores_gemma":[0.0008120298,0.0003151745,0.002780044,0.001369424,0.001710768,0.0002208217,0.0001160708,0.0005632105,0.00000509926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001751784,"about_ca_system_score_gemma":0.000284777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000201923,"about_ca_topic_score_gemma":0.00001008213,"domain_scores_codex":[0.9936535,0.002743063,0.001553234,0.0006867838,0.0008701652,0.0004932606],"domain_scores_gemma":[0.9882275,0.004553543,0.003157901,0.001039458,0.00264841,0.0003731592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009432067,0.0001315515,0.965641,0.000007770857,0.008640696,0.00001851417,0.0001227274,0.002197126,0.000114616,0.000005234779,0.005111293,0.008577361],"study_design_scores_gemma":[0.004407297,0.003490282,0.9816537,0.0001386852,0.003863926,0.0002745686,0.00346591,0.001001662,0.000005402217,0.00005854467,0.001312167,0.0003277907],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828615,0.0005085926,0.008093897,0.003492604,0.001491196,0.001867442,0.001592998,0.00004555895,0.00004624319],"genre_scores_gemma":[0.9877974,0.0001986761,0.007914634,0.002437196,0.001091309,0.00009198148,0.0004006181,0.00006237251,0.000005771701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01601272,"threshold_uncertainty_score":0.99993,"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."}}