{"id":"W2808680340","doi":"10.1038/s41390-018-0025-9","title":"Biological and socioeconomic determinants of prediabetes in youth: an analysis using 2007 to 2011 Canadian Health Measures Surveys","year":2018,"lang":"en","type":"article","venue":"Pediatric Research","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Manitoba Health; Children's Hospital Research Institute of Manitoba; University of Manitoba","funders":"Canadian Institutes of Health Research; Public Health Agency of Canada","keywords":"Prediabetes; Socioeconomic status; Medicine; Glycated hemoglobin; Demography; Odds ratio; Odds; Confidence interval; Diabetes mellitus; Gerontology; National Health and Nutrition Examination Survey; Cross-sectional study; Type 2 diabetes; Environmental health; Internal medicine; Logistic regression; Endocrinology; Population","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":[0.001839916,0.0007023608,0.0007216997,0.003238687,0.002073349,0.001206937,0.001584462,0.0006844303,0.00106483],"category_scores_gemma":[0.003027651,0.0005547194,0.001761571,0.00974946,0.0004828062,0.0005065184,0.001336419,0.0010446,0.0001877947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01403999,"about_ca_system_score_gemma":0.02028923,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9903363,"about_ca_topic_score_gemma":0.9924095,"domain_scores_codex":[0.9984276,0.0001660085,0.0001378036,0.0002019974,0.0005395183,0.0005270143],"domain_scores_gemma":[0.9974467,0.0001507917,0.000538774,0.0001296353,0.001225922,0.0005083134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003540932,0.00001798245,0.9980573,0.00002002586,0.0001088549,0.00002056593,0.0001662259,0.00007105811,0.00002752657,0.0000552726,0.0005380608,0.0008817753],"study_design_scores_gemma":[0.000002010568,0.000006843925,0.9991886,0.00001391525,0.00003162746,0.0000127371,0.0002772108,0.0001160977,0.00001121322,0.000006170571,0.0003293335,0.000004206768],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726529,0.00137129,0.0002427249,0.0003148835,0.00002676745,0.00006505392,0.02380914,0.00001727954,0.001499978],"genre_scores_gemma":[0.985536,0.0009539592,0.0003888749,0.0001080542,0.00001159407,0.00006112215,0.01236938,0.000007418934,0.000563418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01403999,"threshold_uncertainty_score":0.1018677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1659598188045172,"score_gpt":0.4022058110055468,"score_spread":0.2362459922010296,"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."}}