{"id":"W2535956802","doi":"10.1016/j.jdiacomp.2016.10.016","title":"Prevalence of gestational diabetes among Chinese and South Asians: A Canadian population-based analysis","year":2016,"lang":"en","type":"article","venue":"Journal of Diabetes and its Complications","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Health Services; Public Health Agency of Canada; Canadian VIGOUR Centre; University of Calgary; University of Alberta","funders":"","keywords":"Medicine; Gestational diabetes; Demography; Population; Odds ratio; Diabetes mellitus; Ethnic group; Chinese population; Pregnancy; Gestation; Internal medicine; Environmental health; Endocrinology","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":[0.0008601386,0.0008095333,0.0007594997,0.003074551,0.003611092,0.00145496,0.001941845,0.001124378,0.002641084],"category_scores_gemma":[0.001658129,0.001092925,0.00187887,0.007159551,0.001084893,0.0008790943,0.001409401,0.00132005,0.0003394475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01420462,"about_ca_system_score_gemma":0.01539454,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9820189,"about_ca_topic_score_gemma":0.9841286,"domain_scores_codex":[0.9990591,0.00005840411,0.00009218801,0.0002317153,0.0002823238,0.0002761309],"domain_scores_gemma":[0.9983318,0.0001077422,0.0002991234,0.00008799681,0.0006759609,0.0004973634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001181012,0.00004889048,0.9968952,0.00002638928,0.00010811,0.0001212862,0.0007760462,0.00003251867,0.0002555697,0.0000497403,0.0003383234,0.001229876],"study_design_scores_gemma":[0.00001084889,0.00002763455,0.9980002,0.00001157605,0.00006025823,0.0001003477,0.001438526,0.0001170164,0.00002849401,0.00001274313,0.0001769081,0.00001551592],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962763,0.0003497009,0.00005830562,0.0001600387,0.000007332678,0.00003111962,0.002193404,0.000008045818,0.0009157929],"genre_scores_gemma":[0.9973676,0.0005358665,0.0001774398,0.0001183829,0.000007003887,0.00002390474,0.001301067,0.000006026281,0.0004628746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01798105,"threshold_uncertainty_score":0.1030622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0116692454079214,"score_gpt":0.2667180987613828,"score_spread":0.2550488533534614,"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."}}