{"id":"W114184580","doi":"","title":"Abdominal obesity and cardiovascular disease risk factors within body mass index categories.","year":2012,"lang":"en","type":"article","venue":"PubMed","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Abdominal obesity; Medicine; Body mass index; Waist-to-height ratio; Obesity; Waist; Overweight; Odds ratio; Waist–hip ratio; Demography; Logistic regression; Metabolic syndrome; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006712087,0.0002124526,0.0001895787,0.001003086,0.0002378048,0.000409561,0.0001830778,0.0002091693,0.002597002],"category_scores_gemma":[0.002095246,0.0000885374,0.0002148306,0.00155395,0.0003729229,0.000226626,0.0004864314,0.0007364619,0.0002420041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003316272,"about_ca_system_score_gemma":0.0007522932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02714457,"about_ca_topic_score_gemma":0.0456467,"domain_scores_codex":[0.9996008,0.00009208963,0.0000351487,0.00005120225,0.0001673944,0.00005335145],"domain_scores_gemma":[0.9990159,0.0001809343,0.0004818435,0.00003932964,0.00009775446,0.0001842286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008721546,0.00002294194,0.9883222,0.00007335961,0.00008292313,0.00006715166,0.00008772831,0.00005496724,0.0001393776,0.0001634348,0.0007234778,0.01017514],"study_design_scores_gemma":[0.000002528865,0.00002269262,0.9986709,0.00003563136,0.00002845981,0.0001630616,0.00006524412,0.00006516528,0.00002416228,0.00009380749,0.0008264307,0.000001858575],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9607575,0.02047317,0.001086263,0.002501702,0.000205647,0.0000766916,0.003939948,0.00003715739,0.0109219],"genre_scores_gemma":[0.9952159,0.002204384,0.0007390174,0.0001471279,0.0000940107,0.00003132517,0.0008162127,0.000004576534,0.0007475947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02714457,"threshold_uncertainty_score":0.05397314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01428386190192139,"score_gpt":0.1975661283055993,"score_spread":0.1832822664036779,"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."}}