{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009121091,0.0001068131,0.0001872722,0.0006193128,0.0007226156,0.0004527319,0.0003078364,0.0003646647,0.001866554],"category_scores_gemma":[0.002136976,0.0001956299,0.0002621248,0.0009454613,0.0003259615,0.0005564611,0.0007248172,0.000562866,0.000192791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003047161,"about_ca_system_score_gemma":0.0004441638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02037336,"about_ca_topic_score_gemma":0.03419416,"domain_scores_codex":[0.9995525,0.0001539083,0.00003848197,0.00009967746,0.00006377058,0.00009158614],"domain_scores_gemma":[0.9986553,0.0002285556,0.0006058412,0.0001168643,0.0001081188,0.0002853504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001990492,0.00004767089,0.998669,0.000003077264,0.00002576208,0.00001686263,0.0003119309,0.000009433495,0.00006044658,0.00004000571,0.00007548088,0.0007204363],"study_design_scores_gemma":[0.000001453396,0.00001814782,0.9991807,0.000004869308,0.000008186104,0.00003272313,0.0005419693,0.00006099311,0.00001321116,0.00002569727,0.0001105698,0.00000149666],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992311,0.00007277925,0.00003320992,0.00008521685,0.000003272427,0.000003500177,0.000124431,6.887736e-7,0.000445807],"genre_scores_gemma":[0.9997323,0.0000397318,0.00003013606,0.00004322593,0.000003642819,0.000003045057,0.00007142052,7.280187e-7,0.00007572254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02037336,"threshold_uncertainty_score":0.04050958,"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."}}