{"id":"W4390113202","doi":"10.1111/dom.15420","title":"Reduced incidence of diabetes during the <scp>COVID</scp> ‐19 pandemic in Alberta: A time‐segmented longitudinal study of Alberta's Tomorrow Project","year":2023,"lang":"en","type":"article","venue":"Diabetes Obesity and Metabolism","topic":"Diabetes and associated disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; University of Alberta","funders":"Health Canada; Alberta Health; Alberta Cancer Foundation; Alberta Health Services; Government of Alberta; Partenariat Canadien Contre Le Cancer","keywords":"Pandemic; Medicine; Diabetes mellitus; Incidence (geometry); Demography; Confidence interval; Population; Coronavirus disease 2019 (COVID-19); Cohort study; Rate ratio; Emergency medicine; Environmental health; Internal medicine; Disease; Infectious disease (medical specialty); Endocrinology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001004416,0.0005158401,0.0002805259,0.0007601783,0.001600093,0.001217683,0.001437992,0.0007458936,0.001546307],"category_scores_gemma":[0.001448384,0.0003830719,0.0006050207,0.00176444,0.0004921873,0.0003962071,0.0007735102,0.0009816721,0.0002300621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007918222,"about_ca_system_score_gemma":0.009598073,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9587908,"about_ca_topic_score_gemma":0.9611419,"domain_scores_codex":[0.9992836,0.00009947347,0.0000239146,0.0001240137,0.0001742853,0.0002947116],"domain_scores_gemma":[0.9989373,0.00004872871,0.0002512755,0.00007361374,0.0003169823,0.0003721127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000173437,0.00005829481,0.9963111,0.000008166106,0.0000794498,0.00005872721,0.0003363832,0.0001015161,0.0001182396,0.00006190514,0.0008395954,0.001853134],"study_design_scores_gemma":[0.000006938238,0.00002072575,0.998984,0.000009670805,0.00002209601,0.00002153629,0.0004469038,0.0002139823,0.00001565124,0.00001562523,0.0002387892,0.000004037905],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949613,0.0003836537,0.0001176579,0.0003576663,0.00002266891,0.00002698101,0.002965337,0.00001163618,0.001153069],"genre_scores_gemma":[0.9966128,0.0002265697,0.0001438194,0.0001209223,0.00001347419,0.00001560419,0.00185479,0.000004856322,0.001007166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04120916,"threshold_uncertainty_score":0.08290362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0108619131004662,"score_gpt":0.2480934615674378,"score_spread":0.2372315484669716,"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."}}