{"id":"W2132258820","doi":"10.2337/diabetes.54.3.770","title":"Contribution of Abdominal Visceral Obesity and Insulin Resistance to the Cardiovascular Risk Profile of Postmenopausal Women","year":2005,"lang":"en","type":"article","venue":"Diabetes","topic":"Adipokines, Inflammation, and Metabolic Diseases","field":"Medicine","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Insulin resistance; Internal medicine; Endocrinology; Medicine; Triglyceride; Adipose tissue; Insulin; Visceral fat; Abdominal obesity; High-density lipoprotein; Fibrinogen; Metabolic syndrome; Obesity; Cholesterol","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":[0.000474834,0.0000878109,0.0003408992,0.00004781649,0.00005398311,0.000004994238,0.00005447778,0.00003377667,0.00003276367],"category_scores_gemma":[0.0004505363,0.00006106444,0.00007228323,0.0001225452,0.000085224,0.00005912676,0.00002278497,0.00005156579,0.00000579345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002952552,"about_ca_system_score_gemma":0.00005232882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001972575,"about_ca_topic_score_gemma":0.00000898519,"domain_scores_codex":[0.999164,0.00007377337,0.0002327026,0.0001315646,0.0002228563,0.0001751047],"domain_scores_gemma":[0.9992703,0.0000571083,0.0001019555,0.0002441745,0.0002295081,0.00009701182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002400516,0.001158424,0.7200879,0.00124364,0.003083847,0.000006577078,0.007133429,0.0003850269,0.06265031,0.002974772,0.003191063,0.1956845],"study_design_scores_gemma":[0.001494227,0.0001804007,0.9049705,0.00007612825,0.0004055855,6.081777e-7,0.0001075459,0.00009457886,0.06343764,0.0001284243,0.02901944,0.00008487921],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883255,0.01048828,0.00004817239,0.0002309792,0.00003254477,0.0004660741,0.0001408286,0.00001357639,0.000254036],"genre_scores_gemma":[0.9988612,0.0002336999,0.0004105372,0.00008817794,0.0002086806,0.0000509715,0.00002552514,0.000006882586,0.0001143455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1955996,"threshold_uncertainty_score":0.2490136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004335867501449902,"score_gpt":0.2144997699748538,"score_spread":0.2101639024734039,"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."}}