{"id":"W2077796571","doi":"10.1038/oby.2009.191","title":"BMI and Mortality: Results From a National Longitudinal Study of Canadian Adults","year":2009,"lang":"en","type":"article","venue":"Obesity","topic":"Birth, Development, and Health","field":"Medicine","cited_by":221,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics; University of Alberta; McGill University; Canadian Institute for Health Information; Statistics Canada","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institute on Aging","keywords":"Overweight; Medicine; Underweight; Obesity; Demography; Relative risk; Body mass index; Population; Proportional hazards model; Mortality rate; Risk of mortality; Gerontology; Internal medicine; Environmental health; Confidence interval","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":[0.001590624,0.000427819,0.0004984841,0.001226966,0.001790258,0.000754213,0.0009939196,0.0005269329,0.001217965],"category_scores_gemma":[0.003701238,0.0004032405,0.0006731148,0.004031216,0.0003387105,0.0003195001,0.0006213342,0.0007404202,0.0003009817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01040887,"about_ca_system_score_gemma":0.01349655,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9838896,"about_ca_topic_score_gemma":0.9857357,"domain_scores_codex":[0.9991575,0.00009259449,0.00006597216,0.0001017052,0.0004020139,0.0001802365],"domain_scores_gemma":[0.9971891,0.0001362213,0.0003612352,0.0001075751,0.001726983,0.0004788625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001482583,0.00002863658,0.9941631,0.0000629577,0.0001449185,0.0000377634,0.0002610141,0.00005864694,0.0000632099,0.00004228558,0.001822266,0.003167059],"study_design_scores_gemma":[0.00001045381,0.00001174762,0.9990076,0.00001419575,0.00005017517,0.00002236371,0.0001398815,0.00006712233,0.00001439094,0.000008077368,0.0006496891,0.000004291687],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9604594,0.004055974,0.0003813434,0.0009698028,0.00004335987,0.0001102826,0.03124853,0.00003556025,0.002695711],"genre_scores_gemma":[0.9791046,0.002648511,0.0007998457,0.0002965,0.00002534942,0.0001087066,0.0156612,0.00001608698,0.001339251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01611042,"threshold_uncertainty_score":0.07552207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05755678364189008,"score_gpt":0.3192012665243521,"score_spread":0.261644482882462,"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."}}