{"id":"W2799607876","doi":"10.1111/dme.13647","title":"Differences in prevalence of diabetes among immigrants to Canada from South Asian countries","year":2018,"lang":"en","type":"article","venue":"Diabetic Medicine","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Public Health Ontario; University of Toronto","funders":"Ontario Ministry of Health and Long-Term Care","keywords":"Medicine; Immigration; Diabetes mellitus; Population; Demography; South asia; Ethnic group; Prevalence; Epidemiology; Asian Indian; Type 2 diabetes; Environmental health; Gerontology; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002789357,0.0001481675,0.0003967813,0.0001238567,0.00004797255,0.000003642634,0.0002300831,0.00007147026,0.002919126],"category_scores_gemma":[0.0002348321,0.0001145203,0.00001439063,0.0002531287,0.0003034308,0.00002258097,0.00001617362,0.0001047571,0.00003588145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003489838,"about_ca_system_score_gemma":0.0001535157,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.607687,"about_ca_topic_score_gemma":0.8141879,"domain_scores_codex":[0.9983509,0.0001163399,0.0004810152,0.0003071883,0.0003312793,0.0004133417],"domain_scores_gemma":[0.9989318,0.0002551481,0.0001375172,0.0003394911,0.00009770167,0.0002382966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001991302,0.00002212447,0.9597465,0.0001059668,0.00001906126,0.000002327853,0.03539341,4.548557e-8,0.000032661,0.00009570741,0.003127379,0.001434913],"study_design_scores_gemma":[0.0006759645,0.0003033791,0.9940965,0.0004145429,0.00002688593,7.699882e-8,0.003645405,0.00001873868,0.0002763348,0.0001371855,0.0003026303,0.0001024156],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944419,0.0008112734,0.00002578562,0.002214568,0.0008746001,0.0003186862,0.0001196376,0.0000135997,0.001179929],"genre_scores_gemma":[0.9976895,0.00001074416,0.00002142044,0.001423407,0.0002765966,0.00004750667,0.00001557563,0.00001031039,0.0005048767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2065009,"threshold_uncertainty_score":0.9979923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01523759374359024,"score_gpt":0.271351731496115,"score_spread":0.2561141377525247,"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."}}