{"id":"W2107836456","doi":"10.2337/diabetes.52.2.463","title":"Prediction of Type 2 Diabetes Using Simple Measures of Insulin Resistance","year":2003,"lang":"en","type":"article","venue":"Diabetes","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":202,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; U.S. Public Health Service; Diabetes Canada","keywords":"Medicine; Diabetes mellitus; Insulin resistance; Receiver operating characteristic; Internal medicine; Type 2 diabetes; Index (typography); Poisson regression; Correlation; Covariate; Statistics; Demography; Endocrinology; Mathematics; Population; Environmental health; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005515315,0.0008313939,0.0008178716,0.002528599,0.000132596,0.0009381817,0.000503988,0.0004353721,0.0005924041],"category_scores_gemma":[0.01270956,0.0002757948,0.0009341234,0.001509372,0.0003821946,0.0005131224,0.0007930177,0.0007518865,0.0002091202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001758059,"about_ca_system_score_gemma":0.0002298799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009478984,"about_ca_topic_score_gemma":0.001217186,"domain_scores_codex":[0.9978115,0.001248129,0.0002321798,0.0002131884,0.0004189803,0.00007604404],"domain_scores_gemma":[0.9908291,0.004971477,0.00256984,0.0006236824,0.0005359114,0.0004700196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005053815,0.00005586788,0.9903232,0.00003296321,0.0003958388,0.00003511628,0.00004310372,0.001069051,0.0006897316,0.00003811294,0.00007774521,0.006733926],"study_design_scores_gemma":[0.00003654795,0.0004790239,0.9888363,0.00002066772,0.000152014,0.0001608167,0.00004086939,0.009262245,0.000586493,0.0002675873,0.0001341855,0.00002318262],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921358,0.00118014,0.005247651,0.00004428249,0.00002514831,0.00004677952,0.0004179394,0.00007974992,0.0008225983],"genre_scores_gemma":[0.9966419,0.000247119,0.002549381,0.00002234037,0.00003467967,0.00001994968,0.0003919461,0.000007271084,0.00008537094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005515315,"threshold_uncertainty_score":0.02916819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03927048707383122,"score_gpt":0.2443241931250266,"score_spread":0.2050537060511954,"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."}}