{"id":"W2141310098","doi":"10.2337/diabetes.52.11.2740","title":"Identification of Subjects with Insulin Resistance and β-Cell Dysfunction Using Alternative Definitions of the Metabolic Syndrome","year":2003,"lang":"en","type":"article","venue":"Diabetes","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":124,"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; National Center for Research Resources; U.S. Public Health Service; National Institutes of Health","keywords":"Insulin resistance; Medicine; Metabolic syndrome; Quartile; Internal medicine; National Cholesterol Education Program; Insulin; Endocrinology; Odds ratio; Insulin sensitivity; National Health and Nutrition Examination Survey; Confidence interval; Obesity; Environmental health; Population","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":[0.003918553,0.0008506987,0.000937165,0.002017222,0.0004826657,0.001530992,0.0006539954,0.0007752465,0.000982576],"category_scores_gemma":[0.005800678,0.0002925865,0.0006712644,0.00202169,0.0005921349,0.0008159691,0.001015504,0.001011931,0.000254146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002380455,"about_ca_system_score_gemma":0.0004116508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002364157,"about_ca_topic_score_gemma":0.003322985,"domain_scores_codex":[0.9961677,0.001969028,0.0004962253,0.0006695505,0.0004484321,0.0002490092],"domain_scores_gemma":[0.9971967,0.0007134405,0.001231651,0.0002945806,0.0003236995,0.0002399443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007923772,0.00008242657,0.99463,0.00003160178,0.0001341582,0.0001075625,0.0002605166,0.00005286103,0.001161507,0.0001067284,0.00007518721,0.002565146],"study_design_scores_gemma":[0.00004339611,0.0006640707,0.9967728,0.00001801715,0.0001138963,0.0005560257,0.0004310592,0.0005599574,0.000312105,0.0002220035,0.0002851315,0.00002147407],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966989,0.0008053071,0.001310188,0.0000619995,0.00002607473,0.00005254538,0.0002129671,0.00001370701,0.0008183594],"genre_scores_gemma":[0.9971473,0.0003288341,0.001518139,0.0001254751,0.00004012825,0.00007155204,0.0005060532,0.000009586255,0.0002527942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003918553,"threshold_uncertainty_score":0.02072358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0163902901938135,"score_gpt":0.2127514852489048,"score_spread":0.1963611950550913,"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."}}