{"id":"W2999848278","doi":"10.1016/j.jhealeco.2019.102276","title":"Inequality aversion in income, health, and income-related health","year":2020,"lang":"en","type":"article","venue":"Journal of Health Economics","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":68,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hamilton Health Sciences; Population Health Research Institute; McMaster University","funders":"Ontario Ministry of Health and Long-Term Care; Government of Ontario","keywords":"Inequity aversion; Economics; Inequality; Economic inequality; Income distribution; Risk aversion (psychology); Demographic economics; Bivariate analysis; Econometrics; Statistics; Mathematics; Expected utility hypothesis; Financial economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002630209,0.0002496839,0.0003811137,0.001085821,0.0006219388,0.00125624,0.0003506756,0.0009346878,0.004788138],"category_scores_gemma":[0.008703491,0.0002633061,0.0006433547,0.0009742067,0.001416494,0.00103617,0.001568818,0.001870729,0.0001663661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009884514,"about_ca_system_score_gemma":0.0007480055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01978322,"about_ca_topic_score_gemma":0.02121037,"domain_scores_codex":[0.999288,0.0003060385,0.00003425983,0.00005616059,0.00007303016,0.0002425086],"domain_scores_gemma":[0.9890413,0.006861615,0.001923403,0.0003614706,0.0003271691,0.001485137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000602117,0.0007783904,0.963505,0.00003850421,0.0003511009,0.0003458766,0.0007940172,0.003489562,0.0003088825,0.02057401,0.0006081045,0.008604549],"study_design_scores_gemma":[0.00003618396,0.0001860713,0.9630524,0.00005256923,0.000125636,0.0001957788,0.001783219,0.008143632,0.0001034236,0.02545772,0.0008372427,0.00002610377],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989828,0.001176577,0.0008817151,0.002662557,0.0000321415,0.00001358274,0.0001899595,0.000007238155,0.005208379],"genre_scores_gemma":[0.9990661,0.0001933499,0.00008198075,0.00008925403,0.0000246307,0.000003228905,0.00004193365,0.00000121393,0.0004984544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01978322,"threshold_uncertainty_score":0.03933614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08883056210659108,"score_gpt":0.4071968056876547,"score_spread":0.3183662435810636,"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."}}