{"id":"W2139965570","doi":"10.1038/oby.2007.217","title":"Morbidity and Mortality Risk Associated With an Overweight BMI in Older Men and Women","year":2007,"lang":"en","type":"article","venue":"Obesity","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":190,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research","keywords":"Overweight; Medicine; Obesity; Diabetes mellitus; Weight loss; Body mass index; Proportional hazards model; Stroke (engine); Physical therapy; Gerontology; Internal medicine; Demography; Endocrinology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005092388,0.00022948,0.0004512267,0.0006545737,0.0003258577,0.0004557841,0.0002137285,0.0003474988,0.001172252],"category_scores_gemma":[0.002516581,0.00020678,0.0005575178,0.0009742522,0.0002096303,0.0002582062,0.0004638057,0.0005768509,0.0001557847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001833601,"about_ca_system_score_gemma":0.0001912749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004057298,"about_ca_topic_score_gemma":0.005505672,"domain_scores_codex":[0.9997014,0.00006927832,0.00004276197,0.00006002336,0.00007413777,0.0000523549],"domain_scores_gemma":[0.9987191,0.0001297372,0.0007436468,0.00007218489,0.000116233,0.0002192385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001067398,0.00001069293,0.9986036,0.000013546,0.00005744185,0.00002841932,0.000024453,0.00001520376,0.00005205042,0.000007495714,0.00009745706,0.0009829644],"study_design_scores_gemma":[0.000005674957,0.00002948286,0.9996007,0.00001094572,0.00003918268,0.00009414714,0.00004004723,0.00004345437,0.0000125403,0.00001822059,0.0001042869,0.00000133211],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953035,0.00222171,0.00009617966,0.0001876901,0.00002810031,0.00001360106,0.0013444,0.00000724807,0.0007975882],"genre_scores_gemma":[0.9976901,0.0008896783,0.00009556755,0.00006685932,0.00006068644,0.00001843629,0.001060851,0.00000174362,0.0001162445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004057298,"threshold_uncertainty_score":0.008067369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02319371953820052,"score_gpt":0.3198982392415842,"score_spread":0.2967045197033836,"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."}}