{"id":"W2144040170","doi":"10.1111/obr.12309","title":"Inverse relationship between body mass index and mortality in older nursing home residents: a meta‐analysis of 19,538 elderly subjects","year":2015,"lang":"en","type":"review","venue":"Obesity Reviews","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":192,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network","funders":"","keywords":"Underweight; Medicine; Overweight; Body mass index; CINAHL; Demography; Hazard ratio; Population; Obesity; Gerontology; Internal medicine; Environmental health; Confidence interval; Psychological intervention; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004902625,0.0005071496,0.00900179,0.001490451,0.00009146569,0.00003056202,0.000197444,0.0005067509,0.0001345563],"category_scores_gemma":[0.0006103193,0.000408187,0.001541279,0.00271624,0.0001401406,0.0001568386,0.00005204603,0.0009892802,0.00003686364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004471168,"about_ca_system_score_gemma":0.000490258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004946503,"about_ca_topic_score_gemma":0.0002945754,"domain_scores_codex":[0.9942966,0.001779783,0.002309518,0.0006766147,0.0005521331,0.000385378],"domain_scores_gemma":[0.9966339,0.00046608,0.001318422,0.0009167892,0.000158778,0.0005060144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.00001114887,0.0002612429,0.8200418,0.1267587,0.01073878,0.00003774421,0.0002346726,1.514333e-7,6.925197e-8,0.0001434386,0.001453658,0.04031858],"study_design_scores_gemma":[0.0008530463,0.0000691387,0.3220936,0.03051557,0.371669,0.00001530588,0.0000302425,0.000006718984,7.79542e-8,0.0007306939,0.2735829,0.0004336971],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001128451,0.9951555,0.00007526832,0.0001317772,0.00007006609,0.00278495,0.0000771635,0.00003064878,0.0005461394],"genre_scores_gemma":[0.001317873,0.9967016,0.0007739279,0.0001382205,0.0001087814,0.0001372146,0.000486718,0.00003863576,0.0002970042],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4979483,"threshold_uncertainty_score":0.999837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3254387243323351,"score_gpt":0.4740317923169526,"score_spread":0.1485930679846176,"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."}}