{"id":"W2000134510","doi":"10.1001/archinte.162.18.2074","title":"Body Mass Index, Waist Circumference, and Health Risk","year":2002,"lang":"en","type":"article","venue":"Archives of Internal Medicine","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":962,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Medicine; Body mass index; Overweight; Waist; Dyslipidemia; National Health and Nutrition Examination Survey; Metabolic syndrome; Obesity; Diabetes mellitus; Confounding; Demography; Internal medicine; Environmental health; Endocrinology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003697539,0.0001981672,0.0007948423,0.0002778585,0.000058966,0.000006497694,0.0001541332,0.00004283332,0.0002942386],"category_scores_gemma":[0.0002741875,0.0001441916,0.0001722497,0.0001138578,0.0005576398,0.00004721231,0.00005710956,0.0003885819,0.00001382638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001914225,"about_ca_system_score_gemma":0.00002681076,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01072114,"about_ca_topic_score_gemma":0.0001347036,"domain_scores_codex":[0.9983654,0.00009790605,0.0004891355,0.000310763,0.0004247429,0.0003120698],"domain_scores_gemma":[0.9988126,0.0001493368,0.0002261466,0.0004187575,0.00003791118,0.0003552948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001309799,0.0001132407,0.1492452,0.0003375666,0.0005377092,0.00005853586,0.001477815,0.00000132676,0.0005214363,0.0002351148,0.002356991,0.8449841],"study_design_scores_gemma":[0.005589727,0.002938575,0.9572264,0.002558536,0.0002410873,0.0002184429,0.0004272751,0.002337597,0.0007312231,0.002686238,0.02484099,0.0002039354],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7761508,0.04344408,0.01858146,0.007904707,0.0008235666,0.001205502,0.00004904257,0.0001510009,0.1516898],"genre_scores_gemma":[0.9906046,0.005923431,0.0007972644,0.0008104513,0.0005146897,0.00001107207,0.000008571585,0.00002477326,0.00130519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8447801,"threshold_uncertainty_score":0.9958665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01974632541865561,"score_gpt":0.2648574824562859,"score_spread":0.2451111570376303,"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."}}