{"id":"W3172561366","doi":"10.1093/cdn/nzab055_063","title":"Ethnic Differences in the Association Between Body Mass Index and Type 2 Diabetes Risk: A Meta-Analysis of Prospective Cohort Studies","year":2021,"lang":"en","type":"article","venue":"Current Developments in Nutrition","topic":"Cardiovascular Disease and Adiposity","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Body mass index; Demography; Medicine; Ethnic group; Meta-analysis; Type 2 diabetes; Prospective cohort study; Cohort study; Internal medicine; Incidence (geometry); Subgroup analysis; Diabetes mellitus; 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":[0.02085231,0.003090657,0.0165598,0.006012879,0.0008095047,0.003987991,0.002151878,0.001935888,0.002245189],"category_scores_gemma":[0.03075009,0.001672012,0.05999056,0.008961949,0.0006637881,0.001458996,0.001718124,0.002450704,0.0002716367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002018327,"about_ca_system_score_gemma":0.002434937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00737846,"about_ca_topic_score_gemma":0.01129045,"domain_scores_codex":[0.9882549,0.005646797,0.003331876,0.001457284,0.0009297106,0.0003794064],"domain_scores_gemma":[0.9764333,0.01752303,0.002800723,0.001393768,0.001535977,0.0003131579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.002233037,0.00001998369,0.01101225,0.03640207,0.9458016,0.00009523152,0.00004386643,0.0005108874,0.0001441181,0.00005055186,0.0002202702,0.003466117],"study_design_scores_gemma":[0.0002667454,0.00008314533,0.005043609,0.002289184,0.991569,0.00004567779,0.00001989813,0.0001646904,0.00006229668,0.00008470401,0.0003594505,0.0000115891],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02181192,0.9744157,0.001628142,0.0002816823,0.0002496943,0.0003240221,0.0009430246,0.00005383394,0.0002921486],"genre_scores_gemma":[0.4538867,0.5347158,0.005215132,0.001067187,0.0004051483,0.001574086,0.002448997,0.000103724,0.000583342],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02085231,"threshold_uncertainty_score":0.1102789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08196427573294843,"score_gpt":0.3465999458751357,"score_spread":0.2646356701421873,"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."}}