{"id":"W4282035657","doi":"10.1016/j.diabres.2022.109576","title":"IDF21-0578 Association between immigration-status and diabetes-related adverse outcomes in Canada","year":2022,"lang":"en","type":"article","venue":"Diabetes Research and Clinical Practice","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Poisson regression; Demography; Immigration; Ethnic group; Diabetes mellitus; Cohort; Population; Cohort study; Confounding; Gerontology; Epidemiology; Environmental health; Internal medicine; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008540379,0.0003696386,0.0006076229,0.001860686,0.004481261,0.002073715,0.001663634,0.001057126,0.008504887],"category_scores_gemma":[0.004546703,0.000349294,0.001111167,0.005633897,0.0007682596,0.0004641772,0.001157554,0.001920189,0.0006674452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02583085,"about_ca_system_score_gemma":0.05057197,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947337,"about_ca_topic_score_gemma":0.9959548,"domain_scores_codex":[0.9981719,0.0001159853,0.0001492701,0.0002591264,0.000470018,0.0008337692],"domain_scores_gemma":[0.9916968,0.0003335173,0.001256474,0.0002149819,0.00433811,0.002160194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001775822,0.00005942391,0.9872995,0.00004989908,0.0001306,0.0001269336,0.000269566,0.00008378109,0.00008513228,0.0002508726,0.007127892,0.004338878],"study_design_scores_gemma":[0.00003103261,0.00002339932,0.9948579,0.0001174915,0.00009003644,0.0000816107,0.0009257957,0.0001696841,0.00004331055,0.0000729975,0.003567972,0.00001883828],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9444551,0.003868096,0.0001645281,0.004380417,0.0003683855,0.00006342742,0.03021911,0.00004284476,0.01643808],"genre_scores_gemma":[0.9838561,0.001495754,0.0002337811,0.000813192,0.00008503738,0.00003273041,0.006395281,0.00002481985,0.007063403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02583085,"threshold_uncertainty_score":0.1874168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1525928606867732,"score_gpt":0.5437811481727413,"score_spread":0.391188287485968,"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."}}