{"id":"W2892570596","doi":"10.2337/dc18-0709","title":"Genetic Tools for Coronary Risk Assessment in Type 2 Diabetes: A Cohort Study From the ACCORD Clinical Trial","year":2018,"lang":"en","type":"article","venue":"Diabetes Care","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences; University of Calgary; McMaster University; Population Health Research Institute","funders":"National Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; National Institutes of Health; Instituto de Salud Carlos III; Centro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas; Ministry of Education - Singapore; American Diabetes Association; Sanofi; Children's Hospital of Philadelphia","keywords":"Medicine; Internal medicine; Hazard ratio; Coronary artery disease; Population; Myocardial infarction; Type 2 diabetes; Proportional hazards model; Diabetes mellitus; Cohort; Odds ratio; Cardiology; Confidence interval; Endocrinology","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":[0.007946451,0.001324721,0.001422337,0.0005216867,0.000459349,0.001335104,0.0006395732,0.001080713,0.001440416],"category_scores_gemma":[0.008447216,0.0004259037,0.001597017,0.001223062,0.0003773184,0.0006054513,0.0007145992,0.00122588,0.0002936949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002246988,"about_ca_system_score_gemma":0.0003771934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00126039,"about_ca_topic_score_gemma":0.001665143,"domain_scores_codex":[0.9961379,0.002523207,0.0002495193,0.0005450766,0.0003904614,0.0001538734],"domain_scores_gemma":[0.9961978,0.001322562,0.001173256,0.0006188585,0.0003042274,0.0003831858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.152747,0.001669071,0.808755,0.0006387054,0.01229406,0.0004148912,0.0002080941,0.0009255916,0.001536277,0.0003381411,0.001917124,0.01855594],"study_design_scores_gemma":[0.03348837,0.01196015,0.9257271,0.0002478647,0.02026688,0.0006575321,0.0001764327,0.003122523,0.0004910855,0.0009905616,0.002775291,0.00009612762],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911482,0.004336367,0.0008333062,0.0002989485,0.0001434327,0.0002958849,0.001627999,0.0000297119,0.001286102],"genre_scores_gemma":[0.9945012,0.0009945399,0.001570547,0.0002762181,0.0002062858,0.0003368285,0.00173205,0.00001015464,0.0003721889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007946451,"threshold_uncertainty_score":0.04202533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03983644974913805,"score_gpt":0.3617982309427184,"score_spread":0.3219617811935803,"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."}}