{"id":"W2341222182","doi":"10.1016/j.gheart.2016.01.003","title":"Obesity and its Relation With Diabetes and Hypertension: A Cross-Sectional Study Across 4 Geographical Regions","year":2016,"lang":"en","type":"article","venue":"Global Heart","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Centre for Global Health Research","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Heart, Lung, and Blood Institute; Medical Research Council; Servier; Wellcome Trust; U.S. Department of Health and Human Services; National Institutes of Health; Harvard University","keywords":"Waist; Medicine; Obesity; Body mass index; Demography; Anthropometry; Poisson regression; Diabetes mellitus; Cross-sectional study; Circumference; Waist-to-height ratio; Environmental health; Internal medicine; Population; Endocrinology","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":[],"consensus_categories":[],"category_scores_codex":[0.0003918488,0.0001449285,0.0003165079,0.00002906385,0.0002589977,0.00005021023,0.00002996783,0.0001166399,0.00001099638],"category_scores_gemma":[0.0001048056,0.00008945057,0.0000925906,0.0001873619,0.0002144442,0.0001557081,0.0000628294,0.0001064177,0.00001821902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003487371,"about_ca_system_score_gemma":0.00003178039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003334289,"about_ca_topic_score_gemma":0.0002778466,"domain_scores_codex":[0.9986811,0.00006442361,0.000167817,0.0004096186,0.0003784451,0.00029865],"domain_scores_gemma":[0.9992886,0.00004797444,0.00002990956,0.0002446851,0.000166831,0.0002220637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001140077,0.000179333,0.9953384,0.00002017054,0.0001437938,0.00002023381,0.00002852262,3.650467e-7,0.00005548253,0.00006946857,0.00009952167,0.003930698],"study_design_scores_gemma":[0.00296041,0.0007399906,0.9940428,0.00007896392,0.00009198409,0.0002510817,0.00004220667,0.00001766249,0.0000434983,0.0001775448,0.001426862,0.0001270711],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99734,0.001229446,0.00002312833,0.0005028779,0.00008864252,0.0005819348,0.00003602219,0.00008099484,0.0001169514],"genre_scores_gemma":[0.9993499,0.00004295701,0.0001047879,0.0001960509,0.0001641116,0.00002804216,0.000005425577,0.00001021224,0.00009853642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003803627,"threshold_uncertainty_score":0.3647689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01884360177278185,"score_gpt":0.2781337764914824,"score_spread":0.2592901747187005,"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."}}