{"id":"W2299287779","doi":"10.1186/s40608-016-0099-z","title":"Overweight and abdominal obesity as determinants of undiagnosed diabetes and pre-diabetes in Bangladesh","year":2016,"lang":"en","type":"article","venue":"BMC Obesity","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Australian Agency for International Development; Styrelsen för Internationellt Utvecklingssamarbete; Department for International Development; Department for International Development, UK Government; International Centre for Diarrhoeal Disease Research, Bangladesh; United States Agency for International Development","keywords":"Medicine; Diabetes mellitus; Overweight; Abdominal obesity; Obesity; Type 2 diabetes; Waist; Internal medicine; Logistic regression; Gerontology; Demography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005074392,0.0002439405,0.0002198343,0.0004878511,0.0003159636,0.0006017037,0.0002961103,0.0003194209,0.001995785],"category_scores_gemma":[0.001535338,0.0002413904,0.0002993876,0.000807237,0.0003266615,0.0003002282,0.0004581439,0.0006608788,0.0002268423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003362741,"about_ca_system_score_gemma":0.0004590958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01611451,"about_ca_topic_score_gemma":0.01450437,"domain_scores_codex":[0.9996668,0.0001155212,0.00004640629,0.00005060795,0.00005233831,0.00006834124],"domain_scores_gemma":[0.9988139,0.0002194702,0.0004758911,0.00005806991,0.0001048452,0.0003277887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003184999,0.00001620016,0.9992542,0.000005478309,0.00001070436,0.00006212181,0.00006440511,0.00001196349,0.00004014997,0.00001076302,0.00002255898,0.0004696387],"study_design_scores_gemma":[0.00000559007,0.00006100262,0.9988866,0.00001332053,0.00001490648,0.0002611175,0.000480281,0.0001090139,0.0000230179,0.00003214636,0.0001097123,0.000003347984],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990055,0.0002439751,0.00003240964,0.00009393229,0.000003265809,0.000006830491,0.0001937492,0.000001127102,0.0004192977],"genre_scores_gemma":[0.9996686,0.0001332438,0.00002804034,0.00001193173,0.000002456618,0.000004187434,0.0000745904,5.285419e-7,0.00007644597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01611451,"threshold_uncertainty_score":0.03204143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00891836976548497,"score_gpt":0.2389105541996474,"score_spread":0.2299921844341624,"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."}}