{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004899724,0.0002417729,0.000856147,0.0001120534,0.0001298435,0.00002494184,0.0002140337,0.0000674127,0.00001465816],"category_scores_gemma":[0.001296318,0.0002033209,0.00005940889,0.0004225739,0.0003554089,0.0001037768,0.0004889205,0.0003565983,7.619925e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001854327,"about_ca_system_score_gemma":0.0001216723,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04228653,"about_ca_topic_score_gemma":0.00162692,"domain_scores_codex":[0.9974445,0.0005884205,0.0004572126,0.000649748,0.000358318,0.0005018156],"domain_scores_gemma":[0.998776,0.0002821034,0.0001183705,0.0005441812,0.00006210855,0.0002172567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001044759,0.0001822,0.9900118,0.00007065763,0.0003286771,0.00005327312,0.001961499,0.0001478565,0.000001806191,0.00001324985,0.001534773,0.004649484],"study_design_scores_gemma":[0.003647781,0.0007228598,0.9822909,0.00004586236,0.0004312708,0.000003827451,0.004714522,0.0001299956,0.00002160157,0.0001880765,0.007616721,0.0001866252],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9554603,0.03828941,0.000003819673,0.0004220248,0.0007538432,0.001456733,0.003576556,0.00002532784,0.00001198334],"genre_scores_gemma":[0.9972624,0.002163304,0.00009533206,0.00005529021,0.0001254849,0.00009051932,0.0001361432,0.0000179663,0.00005353969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04180212,"threshold_uncertainty_score":0.9640909,"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."}}