{"id":"W2179106045","doi":"10.2147/dmso.s88893","title":"Specific cut-off points for waist circumference and waist-to-height ratio as predictors of cardiometabolic risk in Black subjects: a cross-sectional study in Benin and Haiti","year":2015,"lang":"en","type":"article","venue":"Diabetes Metabolic Syndrome and Obesity","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Waist; Waist-to-height ratio; Medicine; Insulin resistance; Internal medicine; Youden's J statistic; Homeostatic model assessment; Abdominal obesity; Percentile; Receiver operating characteristic; Cross-sectional study; Body mass index; Quantitative insulin sensitivity check index; Endocrinology; Demography; Obesity; Statistics; Mathematics; Insulin sensitivity; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002485021,0.0004090156,0.001735231,0.000763287,0.0001097852,0.0001140715,0.00014966,0.0001927466,0.0000121799],"category_scores_gemma":[0.0006793831,0.0003769262,0.0001995387,0.0007987446,0.0003665055,0.0002869639,0.0001594926,0.0003186513,0.000008419855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005473761,"about_ca_system_score_gemma":0.0001376375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003537183,"about_ca_topic_score_gemma":0.000712236,"domain_scores_codex":[0.9968712,0.0002917844,0.0007479545,0.0008834367,0.000621021,0.0005845758],"domain_scores_gemma":[0.9983854,0.0001759559,0.0001686078,0.0005245102,0.0002451388,0.0005004345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001368255,0.0004651461,0.9909316,0.000164495,0.0004473983,0.00002842978,0.001591923,0.00001374778,0.0001001398,0.00005185253,0.0000256838,0.006042795],"study_design_scores_gemma":[0.006717209,0.0008034857,0.9881439,0.00008690277,0.0003490272,0.00003899361,0.0003819288,0.00009492906,0.001209278,0.0004588712,0.001369978,0.0003455062],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829826,0.01384269,0.0000225402,0.00002359856,0.0003081996,0.002436649,0.000184023,0.00003787887,0.000161792],"genre_scores_gemma":[0.998102,0.001135369,0.0001590052,0.00005157153,0.0001816881,0.0002104714,0.00004489251,0.00004356982,0.00007144786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01511935,"threshold_uncertainty_score":0.9998683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02141678108631793,"score_gpt":0.2640343444930702,"score_spread":0.2426175634067522,"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."}}