{"id":"W4402768476","doi":"10.2139/ssrn.4964389","title":"Health Inequality and Economic Disparities by Race, Ethnicity, and Gender","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Race (biology); Ethnic group; Health equity; Inequality; Demographic economics; Race and health; Political science; Sociology; Development economics; Economics; Gender studies; Economic growth; Health care; Mathematics; Anthropology","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":[0.0006993432,0.0001511758,0.0003315033,0.001473779,0.001087979,0.00101276,0.0003387601,0.0004895288,0.01171623],"category_scores_gemma":[0.004110714,0.0001440559,0.0004645072,0.001834406,0.0007475006,0.001273092,0.001825548,0.0006903119,0.0005382765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004697451,"about_ca_system_score_gemma":0.0006268944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03204281,"about_ca_topic_score_gemma":0.05074981,"domain_scores_codex":[0.9992385,0.0001553216,0.00003329798,0.00007241437,0.00009487957,0.0004054657],"domain_scores_gemma":[0.9985758,0.0003806348,0.0004114066,0.00006832592,0.0001399993,0.0004238055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002626153,0.0002586059,0.9820502,0.00002574031,0.00008785386,0.0001276907,0.001729711,0.00009865058,0.0001199047,0.003152386,0.00125172,0.01083496],"study_design_scores_gemma":[0.000006606387,0.00005441341,0.9928554,0.00005333532,0.00002715361,0.00006535129,0.004171914,0.0001733837,0.00003773596,0.001636874,0.0009124016,0.000005477451],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854174,0.001245074,0.0001086395,0.002039693,0.00004640828,0.000007865558,0.000696907,0.000002755342,0.01043535],"genre_scores_gemma":[0.9986408,0.000319739,0.00001744296,0.00009894565,0.00003727784,0.000004973357,0.0001481519,0.000002092278,0.000730612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03204281,"threshold_uncertainty_score":0.0637126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.049583368149735,"score_gpt":0.4103886385417478,"score_spread":0.3608052703920128,"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."}}