{"id":"W2104902578","doi":"10.1161/circulationaha.105.559633","title":"Prediction of Type 2 Diabetes Mellitus With Alternative Definitions of the Metabolic Syndrome","year":2005,"lang":"en","type":"article","venue":"Circulation","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":266,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; Mount Sinai Hospital","funders":"National Center for Research Resources; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Banting and Best Diabetes Centre, University of Toronto; AstraZeneca; Canadian Diabetes Association; U.S. Public Health Service; National Institutes of Health; University of Toronto","keywords":"Medicine; Metabolic syndrome; Type 2 Diabetes Mellitus; Diabetes mellitus; Type 2 diabetes; Intensive care medicine; Internal medicine; Endocrinology","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":[0.0001593153,0.00007794736,0.000260363,0.00007982749,0.00003915246,0.000003912134,0.00004968449,0.00004705801,0.00003381923],"category_scores_gemma":[0.00006611052,0.00005356276,0.0001399373,0.0003075087,0.00009130345,0.00009792115,0.00001113694,0.00007598053,0.000007292283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002691289,"about_ca_system_score_gemma":0.00005112204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001642708,"about_ca_topic_score_gemma":0.00002301943,"domain_scores_codex":[0.9992122,0.00005146325,0.000202478,0.0001214765,0.0003118115,0.0001005588],"domain_scores_gemma":[0.9992952,0.0000252107,0.0001285517,0.0003070802,0.0002107141,0.00003319571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001333892,0.0008392236,0.6399994,0.0005173123,0.003780448,0.000004772111,0.00227392,0.02591523,0.0134615,0.009586668,0.0001041454,0.303384],"study_design_scores_gemma":[0.0006965193,0.00008073325,0.979809,0.0001443662,0.0005381418,0.0000157107,0.00003064732,0.001525424,0.01565409,0.0004775767,0.0009784198,0.00004934921],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994685,0.003149841,0.0004226934,0.00008919663,0.0001031697,0.0003792995,0.00003078295,0.00001969127,0.001120344],"genre_scores_gemma":[0.9991601,0.0002318874,0.0003840646,0.00003097819,0.000102067,0.00001736691,0.00004841189,0.00001346448,0.00001165789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3398097,"threshold_uncertainty_score":0.2184226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02910988771724497,"score_gpt":0.2225898927298498,"score_spread":0.1934800050126048,"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."}}