{"id":"W2169839905","doi":"10.1186/1471-2458-13-1161","title":"Multimorbidity prevalence in the general population: the role of obesity in chronic disease clustering","year":2013,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":156,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Institute of Nutrition, Metabolism and Diabetes; Canadian Institutes of Health Research; Alberta Innovates","keywords":"Medicine; Biostatistics; Obesity; Epidemiology; Odds ratio; Odds; Public health; Population; Demography; Cross-sectional study; Gerontology; Environmental health; Logistic regression; Internal medicine; Pathology","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":[0.001048491,0.0001068725,0.0001833125,0.0000972801,0.00006980702,0.00004907241,0.0002597675,0.00002524866,0.0002597582],"category_scores_gemma":[0.0001537118,0.00006618701,0.00005268241,0.0003290533,0.00006611043,0.0002484101,0.0001041979,0.0001644412,0.00001396626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006364226,"about_ca_system_score_gemma":0.001149188,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009652562,"about_ca_topic_score_gemma":0.003757091,"domain_scores_codex":[0.9983626,0.0003354029,0.0003771679,0.0002141419,0.0003355221,0.0003751503],"domain_scores_gemma":[0.9990724,0.00007894678,0.000120516,0.0005428467,0.00003235598,0.0001529884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001715185,0.0003113747,0.9855615,0.001627685,0.000006558057,0.000002981322,0.0005816975,0.0007807334,0.000005703335,0.003507755,0.000432227,0.007164568],"study_design_scores_gemma":[0.0006455553,0.00004083028,0.9371672,0.0001029975,0.000006615214,0.000001178172,0.0004661761,0.06023886,3.954725e-7,0.0003979151,0.0008794812,0.00005273902],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877955,0.001635776,0.0001197524,0.007643395,0.00005882607,0.001685165,0.000007557288,0.00002715335,0.001026861],"genre_scores_gemma":[0.9986928,0.0001504041,0.0001280353,0.0005677013,0.0001568026,0.0001542405,0.00003663537,0.000008361347,0.0001050748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05945813,"threshold_uncertainty_score":0.9969422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07050813988369715,"score_gpt":0.3580240770143716,"score_spread":0.2875159371306744,"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."}}