{"id":"W4307562380","doi":"10.1111/ssqu.13223","title":"Education and polypharmacy: A national study of racial and ethnic variations","year":2022,"lang":"en","type":"article","venue":"Social Science Quarterly","topic":"Medical Education and Admissions","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Polypharmacy; Ethnic group; Socioeconomic status; Race and health; Gerontology; Health equity; Demography; National Health and Nutrition Examination Survey; Social class; Race (biology); Psychology; Medicine; Sociology; Health care; Population; Political science; Economics; Economic growth; Gender studies","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005152958,0.00003871479,0.00007951902,0.0001350083,0.0006556421,0.00001310503,0.00005766076,0.00001159545,0.0006374684],"category_scores_gemma":[0.0002716096,0.0000364365,0.0000123806,0.0005970799,0.0001948779,0.00008726182,0.00001598247,0.0001145798,8.198285e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006150331,"about_ca_system_score_gemma":0.002554323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001139709,"about_ca_topic_score_gemma":0.000008203988,"domain_scores_codex":[0.9990014,0.00005444925,0.0001328402,0.0001481332,0.0005722876,0.00009084277],"domain_scores_gemma":[0.999498,0.00003414826,0.00006056066,0.00004071594,0.0001227408,0.0002438869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00007880352,0.006252009,0.009782495,0.00003217243,0.00002887247,0.000001305309,0.4929374,3.055353e-7,0.0217211,0.04476781,0.003085723,0.421312],"study_design_scores_gemma":[0.001980569,0.001724902,0.7647864,0.000009583735,0.00007117147,0.0000291523,0.2225519,0.0003697295,0.00002716996,0.004211584,0.00410435,0.0001335095],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901509,0.0000562924,0.0000129566,0.005606206,0.0002921132,0.0002723788,0.000006053591,0.00001135023,0.003591756],"genre_scores_gemma":[0.9983913,8.965423e-7,0.00008015288,0.000984947,0.0001386779,0.00004654256,0.000004369203,0.000002297623,0.0003508317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7550039,"threshold_uncertainty_score":0.6979831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04059027613652525,"score_gpt":0.4330797287431123,"score_spread":0.392489452606587,"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."}}