{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007017959,0.0001784884,0.0006967409,0.0001673989,0.00004981436,0.000008708522,0.00008975002,0.0001273815,0.00006431414],"category_scores_gemma":[0.001049913,0.0001650803,0.0002715845,0.0004847507,0.0001625419,0.0001009114,0.00002040238,0.000130367,0.000005236925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004151607,"about_ca_system_score_gemma":0.0001209691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000829148,"about_ca_topic_score_gemma":0.0000142654,"domain_scores_codex":[0.9983249,0.0001416787,0.0004534134,0.0002601509,0.0004838897,0.0003360173],"domain_scores_gemma":[0.9986987,0.0000880342,0.0001857128,0.0005240702,0.00040061,0.0001028327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000119742,0.0006394166,0.6501887,0.002348319,0.002041429,0.000004828407,0.0004972552,0.0003053556,0.280121,0.0005799272,0.001361815,0.06179216],"study_design_scores_gemma":[0.001618169,0.0003525631,0.1357357,0.0005151362,0.0005988689,6.23025e-7,0.0001247184,0.0003142898,0.8403171,0.001134534,0.0190737,0.0002145981],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833031,0.01381883,0.00005258682,0.00001333495,0.0002080856,0.0003515626,0.000056254,0.00004915004,0.002147092],"genre_scores_gemma":[0.9978988,0.0001412134,0.001639863,0.00004774439,0.000103016,0.00001239503,0.00003420013,0.00003759193,0.00008515635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5601961,"threshold_uncertainty_score":0.6731778,"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."}}