{"id":"W1977185709","doi":"10.1353/hpu.0.0179","title":"The Health Status of Black Canadians: Do Aggregated Racial and Ethnic Variables Hide Health Disparities?","year":2009,"lang":"en","type":"article","venue":"Journal of Health Care for the Poor and Underserved","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ethnic group; Health equity; Socioeconomic status; Race and health; Race (biology); Public health; Educational attainment; Social determinants of health; Unemployment; Population; Demography; Gerontology; Medicine; Environmental health; Sociology; Political science; Economic growth; Gender studies","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004056379,0.000225456,0.000850575,0.0001715394,0.004956148,0.00003728222,0.0002580954,0.0001727486,0.00001708706],"category_scores_gemma":[0.0005004043,0.0001453063,0.0001417401,0.0002922715,0.0002492694,0.0001744953,0.00004631194,0.0009630708,8.23989e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008373505,"about_ca_system_score_gemma":0.006551134,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04832143,"about_ca_topic_score_gemma":0.1324753,"domain_scores_codex":[0.9947954,0.00124571,0.002020816,0.000210039,0.0003827423,0.001345326],"domain_scores_gemma":[0.9940248,0.001847452,0.002447067,0.0002799995,0.0005273644,0.0008733441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004380719,0.0003715865,0.0161129,0.01335466,0.0005855586,0.000005845299,0.343977,0.0003861392,0.000006028749,0.2194144,0.1815378,0.2198673],"study_design_scores_gemma":[0.009687211,0.008318379,0.2327859,0.003811213,0.0001652786,0.00002884068,0.3454985,0.001107744,0.000001636347,0.02988908,0.3682069,0.0004993698],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.09422968,0.3172508,0.001431467,0.5785571,0.002529487,0.004636297,0.001104717,0.00004318837,0.0002172846],"genre_scores_gemma":[0.9190133,0.0561836,0.0005894736,0.02367428,0.0003441196,0.00001855561,0.00004235086,0.00002626652,0.000108008],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8247837,"threshold_uncertainty_score":0.9990808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1305166820672972,"score_gpt":0.4388043017762982,"score_spread":0.308287619709001,"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."}}