{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004106483,0.0002465721,0.0002805767,0.001368357,0.001830402,0.001023944,0.0005541248,0.0002543358,0.001904479],"category_scores_gemma":[0.001631379,0.000215323,0.000440958,0.00236491,0.0005246916,0.0002381372,0.0007840579,0.0004046824,0.000153144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006764351,"about_ca_system_score_gemma":0.008486282,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9628239,"about_ca_topic_score_gemma":0.9756641,"domain_scores_codex":[0.9995599,0.00003037973,0.00003893914,0.0000648924,0.0001438851,0.0001618909],"domain_scores_gemma":[0.9989986,0.00007224917,0.0002452618,0.00002978659,0.0003882847,0.0002660076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006698978,0.00001224926,0.9960663,0.00002351184,0.00004654886,0.000113019,0.0009594411,0.00002685607,0.0001929069,0.00003172008,0.0002550051,0.002205439],"study_design_scores_gemma":[0.000004537693,0.0000103989,0.9978769,0.00002338899,0.00001497107,0.00006489587,0.001659559,0.00003741945,0.00003098864,0.000008532552,0.0002633313,0.000005011907],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974282,0.0002925228,0.0000229487,0.00008657544,0.000004658276,0.00001283744,0.0008749841,0.000003382384,0.001273793],"genre_scores_gemma":[0.9977384,0.0005230567,0.00008732022,0.00007361302,0.000002874644,0.00001173299,0.001087767,0.000003084705,0.0004722265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03717613,"threshold_uncertainty_score":0.07479006,"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."}}