{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076497,0.0002882808,0.0002547229,0.0009122264,0.0002345188,0.0006457093,0.0002911637,0.0004717912,0.002134938],"category_scores_gemma":[0.004549838,0.0001365304,0.0002285224,0.001213061,0.0003730071,0.0002442924,0.0002673528,0.0006853248,0.0004599087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002953291,"about_ca_system_score_gemma":0.0004350328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006043504,"about_ca_topic_score_gemma":0.00413595,"domain_scores_codex":[0.9995029,0.0001907298,0.00004364393,0.00007847102,0.0001305333,0.00005371854],"domain_scores_gemma":[0.99805,0.0006255332,0.0007437704,0.00007296528,0.0001835264,0.0003242816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001102104,0.00006067971,0.9917361,0.00006858393,0.0001219852,0.00007736378,0.00002271675,0.0001210017,0.00005689566,0.00009406515,0.0005392772,0.006991189],"study_design_scores_gemma":[0.000008659949,0.00004403366,0.998632,0.00004004702,0.00007435157,0.0002122301,0.00002319355,0.0001882582,0.00001990994,0.0001950717,0.0005590508,0.000003147143],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9518611,0.03358155,0.0004194327,0.002211904,0.0001938543,0.00004621187,0.001891895,0.00004637628,0.009747859],"genre_scores_gemma":[0.9922696,0.005446447,0.0004473658,0.0002595929,0.0001550881,0.00002829667,0.0008856598,0.000004759941,0.0005032278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006043504,"threshold_uncertainty_score":0.01201665,"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."}}