{"id":"W2948610531","doi":"10.2337/db19-1589-p","title":"1589-P: Trends in Prediabetes Prevalence and Incidence among Immigrants in Ontario, Canada, 2011-2015: A Population-Based Study","year":2019,"lang":"en","type":"article","venue":"Diabetes","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prediabetes; Demography; Incidence (geometry); Medicine; Immigration; Ethnic group; Population; Diabetes mellitus; Epidemiology; Type 2 diabetes; Gerontology; Internal medicine; Geography; Environmental health; Endocrinology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006889976,0.0004718241,0.0005640754,0.002140779,0.002997687,0.001501096,0.001551978,0.0005767384,0.002590454],"category_scores_gemma":[0.001593298,0.0004634669,0.001219799,0.0069806,0.0006695885,0.0005499471,0.001181063,0.0006980524,0.0005752199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03204832,"about_ca_system_score_gemma":0.04215458,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953727,"about_ca_topic_score_gemma":0.9971918,"domain_scores_codex":[0.9989533,0.00004382508,0.00009257716,0.0001814596,0.0004143826,0.0003143572],"domain_scores_gemma":[0.9972728,0.00005524127,0.0005393246,0.00008397925,0.001470368,0.0005782319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007830361,0.00003143925,0.9932547,0.00007552564,0.00008561671,0.00007661855,0.0004680634,0.00006988038,0.0001392059,0.0000581396,0.002884953,0.00277764],"study_design_scores_gemma":[0.000008788018,0.00001584337,0.9973238,0.0000363144,0.00003337087,0.00004761112,0.0005850176,0.0001604805,0.00003371507,0.00001059507,0.001735335,0.000009188664],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9492032,0.001588765,0.0002941873,0.0007575064,0.0000437688,0.0001780891,0.04291908,0.00005487847,0.004960569],"genre_scores_gemma":[0.9788551,0.001151373,0.0005078492,0.0004441169,0.0000346497,0.0001476926,0.01507881,0.00002203818,0.00375836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03204832,"threshold_uncertainty_score":0.2325279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006530120273669126,"score_gpt":0.234839972560633,"score_spread":0.2283098522869639,"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."}}