{"id":"W4214521725","doi":"10.3389/fendo.2022.838027","title":"Prevalence, Deaths and Disability-Adjusted-Life-Years (DALYs) Due to Type 2 Diabetes and Its Attributable Risk Factors in 204 Countries and Territories, 1990-2019: Results From the Global Burden of Disease Study 2019","year":2022,"lang":"en","type":"article","venue":"Frontiers in Endocrinology","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":247,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Shahid Beheshti University of Medical Sciences; Institute for Health Metrics and Evaluation; Bill and Melinda Gates Foundation","keywords":"Medicine; Type 2 diabetes; Demography; Body mass index; Diabetes mellitus; Population; Burden of disease; Disability-adjusted life year; Environmental health; Disease burden; Prevalence; Gerontology; Internal medicine","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":[0.0009467473,0.0003918428,0.0005187211,0.001454066,0.000191462,0.000590211,0.000325754,0.0003204143,0.001376506],"category_scores_gemma":[0.001384201,0.0002018331,0.001634424,0.002755912,0.0001505661,0.0004411089,0.0004902381,0.0005817511,0.0007027984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007535032,"about_ca_system_score_gemma":0.0006929355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04309331,"about_ca_topic_score_gemma":0.04352709,"domain_scores_codex":[0.9993415,0.0001655156,0.0001206563,0.00008361954,0.0001865061,0.0001020415],"domain_scores_gemma":[0.9993978,0.00005839071,0.0002986471,0.00002366544,0.0001678006,0.00005380374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003378815,0.00004800369,0.9650297,0.0009150062,0.001802735,0.000167385,0.0002266441,0.001304482,0.0003254787,0.0001359579,0.01233914,0.0173676],"study_design_scores_gemma":[0.00002668109,0.00006968457,0.9915044,0.0001805237,0.0004612902,0.0003378681,0.000251561,0.000434429,0.0001606928,0.00007773905,0.00647511,0.00002006661],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6941535,0.03821974,0.002423439,0.001430877,0.0002462096,0.0001420985,0.2558674,0.0002261709,0.007290643],"genre_scores_gemma":[0.8857603,0.01223263,0.001787361,0.000364686,0.0001213546,0.0002113619,0.09749469,0.00002994675,0.001997726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04309331,"threshold_uncertainty_score":0.08568501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0100786960586425,"score_gpt":0.2374201383561799,"score_spread":0.2273414422975374,"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."}}