{"id":"W4361278091","doi":"10.1016/j.cegh.2023.101279","title":"Prevalence and factors associated with prediabetes and diabetes mellitus among adults: Baseline findings of PURE Malaysia cohort study","year":2023,"lang":"en","type":"article","venue":"Clinical Epidemiology and Global Health","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Universiti Kebangsaan Malaysia; Heart and Stroke Foundation of Canada; Servier; Ministério da Ciência, Tecnologia e Inovação; Universiti Teknologi MARA; Sanofi; AstraZeneca","keywords":"Prediabetes; Medicine; Family history; Population; Cohort; Diabetes mellitus; Cross-sectional study; Demography; Public health; Odds ratio; Gerontology; Environmental health; Internal medicine; Type 2 diabetes; Endocrinology; Pathology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007670094,0.000453314,0.0003820999,0.0006868784,0.0004878083,0.0006457926,0.000369346,0.0004521223,0.001154354],"category_scores_gemma":[0.0009693234,0.0006359211,0.0005814648,0.00102359,0.00016335,0.0005842433,0.0006483176,0.0007154588,0.0003289883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004824759,"about_ca_system_score_gemma":0.0005730076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01842312,"about_ca_topic_score_gemma":0.02329754,"domain_scores_codex":[0.9996376,0.00006408231,0.00006539834,0.00008623867,0.00006774208,0.00007895394],"domain_scores_gemma":[0.9993294,0.0000365147,0.0002520877,0.00006234563,0.0001225095,0.0001971779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004526095,0.00003729113,0.9992805,0.000008633666,0.00002696291,0.00002681137,0.00007517971,0.000008953626,0.00005835725,0.000004487291,0.00007183091,0.0003557821],"study_design_scores_gemma":[0.000003530815,0.00004196481,0.9995252,0.000005622481,0.00001378794,0.00007346135,0.0001799984,0.0000460425,0.00001561252,0.00000357097,0.00008867749,0.000002560957],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970506,0.0002381868,0.00006490641,0.00004659144,0.000005997835,0.00003721569,0.002258244,0.000003109292,0.0002951794],"genre_scores_gemma":[0.9977655,0.0002093404,0.0001528551,0.000040989,0.000006829284,0.00004212349,0.001399351,0.000002094119,0.0003810215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01842312,"threshold_uncertainty_score":0.03663176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04654288320651585,"score_gpt":0.3743357231490095,"score_spread":0.3277928399424937,"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."}}