{"id":"W2945641478","doi":"10.1186/s12916-019-1337-2","title":"Ethnic differences in prediabetes incidence among immigrants to Canada: a population-based cohort study","year":2019,"lang":"en","type":"article","venue":"BMC Medicine","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto; Institute for Clinical Evaluative Sciences; Institute for Work & Health; St. Michael's Hospital","funders":"Canadian Institutes of Health Research; University of Toronto; Ontario Ministry of Health and Long-Term Care; Heart and Stroke Foundation of Canada","keywords":"Medicine; Prediabetes; Ethnic group; Incidence (geometry); Immigration; Demography; Cohort; Cohort study; Population; Gerontology; Environmental health; Internal medicine; Diabetes mellitus; Type 2 diabetes; 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":[0.000701422,0.0004041128,0.0004577102,0.001053983,0.002482014,0.001308169,0.0008067257,0.0004872025,0.001215196],"category_scores_gemma":[0.001145774,0.0003924155,0.0006914467,0.003109029,0.0005419729,0.0003214029,0.0008310513,0.0007809001,0.0002183763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008692931,"about_ca_system_score_gemma":0.01156893,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9597322,"about_ca_topic_score_gemma":0.9671062,"domain_scores_codex":[0.9994217,0.00003784083,0.00003331556,0.0001269765,0.0001666572,0.0002134335],"domain_scores_gemma":[0.9989238,0.00004743391,0.0002417088,0.000076883,0.0004296176,0.0002804304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007608562,0.00001805874,0.9983077,0.000008899234,0.00005379115,0.0000460119,0.0002490344,0.0000334476,0.0000729341,0.00002609471,0.000279397,0.0008284256],"study_design_scores_gemma":[0.00001013906,0.00002045199,0.9987752,0.00001758137,0.00003863955,0.00005036305,0.0004508945,0.0001626077,0.00002313469,0.00001467618,0.0004287273,0.000007520876],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962161,0.0002895207,0.00008341751,0.00008922497,0.00000620537,0.00003710547,0.002617062,0.000005652188,0.0006558348],"genre_scores_gemma":[0.9973245,0.0003048987,0.0001512652,0.0000663757,0.000005594255,0.00002205415,0.001673614,0.000004020731,0.0004477415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04026783,"threshold_uncertainty_score":0.08100986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01853508964012298,"score_gpt":0.2587725712101578,"score_spread":0.2402374815700348,"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."}}