{"id":"W1987552839","doi":"10.1038/ijo.2011.268","title":"Body mass index versus waist circumference as predictors of mortality in Canadian adults","year":2012,"lang":"en","type":"article","venue":"International Journal of Obesity","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":148,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Dalhousie University; University of Waterloo; Simon Fraser University; University of Saskatchewan","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Health Canada; National Institutes of Health","keywords":"Body mass index; Waist; Circumference; Medicine; Body volume index; Obesity; Demography; Waist-to-height ratio; Waist–hip ratio; Index (typography); Gerontology; Internal medicine; Fat mass; Classification of obesity; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008305177,0.0001086858,0.0003479036,0.0003307201,0.00001846531,0.00001334011,0.0002649551,0.0000930369,0.0001639036],"category_scores_gemma":[0.0005376128,0.00009933845,0.0002551774,0.0001125461,0.00006730841,0.0002636312,0.00002657348,0.0003003266,0.00001347332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004566244,"about_ca_system_score_gemma":0.0005587004,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3936646,"about_ca_topic_score_gemma":0.09462743,"domain_scores_codex":[0.998242,0.00006201396,0.0004528124,0.00009957301,0.0008787828,0.0002648213],"domain_scores_gemma":[0.9985778,0.00004477995,0.0002446575,0.0001733677,0.0005340006,0.0004254184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003744153,0.0002082305,0.9938143,0.00002286829,0.0006577757,0.0001443094,0.0001958135,0.00001597464,0.00006860749,0.000103288,0.0001125931,0.004281747],"study_design_scores_gemma":[0.002559069,0.0001598614,0.993064,0.0002132682,0.0001006269,0.00007570493,0.0001058137,0.00004931087,0.001231617,0.00008750781,0.002275085,0.00007811084],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932019,0.000381502,0.00005773219,0.0001306243,0.002156758,0.000119915,0.00002947377,0.000004902066,0.003917185],"genre_scores_gemma":[0.9989482,0.0000813693,0.00007209298,0.0000573404,0.0007858169,0.000001860478,0.00001213711,0.000009328153,0.00003191073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2990372,"threshold_uncertainty_score":0.9218932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01455679885373926,"score_gpt":0.2828458924918658,"score_spread":0.2682890936381265,"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."}}