{"id":"W4411073125","doi":"10.1080/13557858.2025.2511621","title":"Differences in chronic disease prevalence by ethno-racial identity among Canadians: analyses of nationally representative self-report data","year":2025,"lang":"en","type":"article","venue":"Ethnicity and Health","topic":"Racial and Ethnic Identity Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; Western University","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research; Canadian Immunization Research Network; Healthcare Excellence Canada","keywords":"Odds ratio; Medicine; Demography; Odds; Logistic regression; Obesity; Diabetes mellitus; Gerontology; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003680757,0.00009603771,0.0002821852,0.0002005884,0.0006098224,0.0000791265,0.0006381184,0.00008681819,0.0001065762],"category_scores_gemma":[0.001197951,0.00009680304,0.00003730092,0.0008672404,0.000706186,0.0009033323,0.0002527657,0.0003176171,0.000001796876],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004861161,"about_ca_system_score_gemma":0.005637699,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7635295,"about_ca_topic_score_gemma":0.9289773,"domain_scores_codex":[0.9972469,0.0007110892,0.0004546632,0.0004580876,0.000737762,0.000391461],"domain_scores_gemma":[0.9987507,0.0002742523,0.0002018452,0.0003340929,0.0001606177,0.0002785216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003387316,0.0002048488,0.9659567,0.0008427841,0.00007996112,0.00002907181,0.0165826,0.00000749116,0.00002910778,0.006889861,0.00730323,0.00204044],"study_design_scores_gemma":[0.0001800047,0.00002381068,0.993888,0.0001719295,0.00002160902,1.293817e-7,0.001818965,0.0002778441,0.0000089372,0.002880735,0.0006385738,0.00008952276],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9722224,0.009031646,0.0003046501,0.01472914,0.0001977559,0.0007177989,0.0002955487,0.00003478807,0.002466297],"genre_scores_gemma":[0.9895896,0.007185056,0.00003603286,0.0001800297,0.00009016727,0.00001804178,0.00007079674,0.000003210746,0.002827069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1654478,"threshold_uncertainty_score":0.9999994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1795547777207886,"score_gpt":0.5190685483469845,"score_spread":0.3395137706261959,"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."}}