{"id":"W2132823438","doi":"10.2337/diabetes.53.7.1773","title":"Metabolic and Inflammation Variable Clusters and Prediction of Type 2 Diabetes","year":2004,"lang":"en","type":"article","venue":"Diabetes","topic":"Adipokines, Inflammation, and Metabolic Diseases","field":"Medicine","cited_by":201,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Center for Research Resources; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Canadian Diabetes Association; U.S. Public Health Service; National Institutes of Health","keywords":"Internal medicine; Waist; Medicine; Metabolic syndrome; Diabetes mellitus; Fibrinogen; Type 2 diabetes; Insulin resistance; Risk factor; Endocrinology; C-reactive protein; Body mass index; Inflammation","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":[0.0001608694,0.000114723,0.0002745037,0.0001281496,0.00005132847,0.00001629055,0.00002761185,0.00006399291,0.00002484378],"category_scores_gemma":[0.0002490248,0.00009930599,0.00002652059,0.0001898855,0.0001051073,0.0002266484,0.00002270208,0.00004965233,0.000003255417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009711119,"about_ca_system_score_gemma":0.00006477776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001414814,"about_ca_topic_score_gemma":7.59791e-7,"domain_scores_codex":[0.9992707,0.00002056561,0.0002424358,0.0001570693,0.0001441341,0.0001651023],"domain_scores_gemma":[0.9994677,0.00004456972,0.00009407872,0.0001422386,0.0001364929,0.0001149289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007863302,0.0001460655,0.6808592,0.001213959,0.0004432262,0.000001170573,0.001180641,0.0003319225,0.2730123,0.01222732,0.0002027758,0.03030279],"study_design_scores_gemma":[0.003185678,0.0002689843,0.8327252,0.0003236766,0.0009297211,0.000002711163,0.0001388047,0.001508701,0.144206,0.004335485,0.01217919,0.0001958191],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934377,0.005193089,0.00003981253,0.0001792168,0.0001374942,0.0002539007,0.00002464406,0.00005463268,0.0006794984],"genre_scores_gemma":[0.9977658,0.0006228432,0.001077175,0.000112191,0.0002142487,0.0000181466,0.00009336389,0.0000143909,0.00008182311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.151866,"threshold_uncertainty_score":0.404958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008235185466945088,"score_gpt":0.2184195118263235,"score_spread":0.2101843263593784,"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."}}