{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002390348,0.0000735653,0.000190047,0.0001611577,0.00008080922,0.000005739247,0.00003739223,0.00005336101,0.00002828665],"category_scores_gemma":[0.0000897752,0.00006781972,0.00001529827,0.0001736945,0.00001966126,0.00003518744,0.000009108814,0.0001049937,0.000006399269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008462774,"about_ca_system_score_gemma":0.0004846724,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.35601,"about_ca_topic_score_gemma":0.6853068,"domain_scores_codex":[0.9991226,0.00002208213,0.0002174068,0.0002137869,0.0002763243,0.0001478692],"domain_scores_gemma":[0.999402,0.00002154314,0.00006081411,0.0001308823,0.0001370024,0.0002476986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001679184,0.0003977181,0.9946151,0.00001502452,0.00003506967,0.00003797419,0.001376021,1.578754e-7,0.000015662,0.00185752,0.00110654,0.0003752366],"study_design_scores_gemma":[0.002650456,0.0003168381,0.9937342,0.00004990505,0.00002705918,0.000004597475,0.000267018,0.00002223317,0.00003811738,0.002720013,0.0001098013,0.00005975087],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873848,0.00004192787,0.000001116794,0.0007344314,0.00004604096,0.0002685894,0.00009517287,0.00001247138,0.01141548],"genre_scores_gemma":[0.9986157,0.0004661849,0.0002786803,0.0004566025,0.00008420187,0.00000153684,0.0000640433,0.000003089394,0.000029986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3292968,"threshold_uncertainty_score":0.6482784,"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."}}