{"id":"W6959584128","doi":"10.1093/jrsssa/qnaf039","title":"Copula-based estimation of health inequality measures","year":2025,"lang":"en","type":"article","venue":"Journal of the Royal Statistical Society Series A (Statistics in Society)","topic":"Economic and Social Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Estimator; Nonparametric statistics; Bivariate analysis; Gini coefficient; Inequality; Estimation; Socioeconomic status; Confidence interval","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00408165,0.0001649562,0.0006588499,0.00002487608,0.0006726893,0.00008044342,0.0004654034,0.0001893979,0.0001060877],"category_scores_gemma":[0.00217638,0.0001369963,0.0003762785,0.0004333543,0.001353718,0.00012188,0.00007350431,0.0004915763,0.000001344882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008252671,"about_ca_system_score_gemma":0.001800313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002645356,"about_ca_topic_score_gemma":0.001154302,"domain_scores_codex":[0.9966992,0.0008115071,0.001301977,0.000163496,0.0006387398,0.000385137],"domain_scores_gemma":[0.9969472,0.001421397,0.0009543002,0.0001700257,0.0003940208,0.0001130393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009688653,0.0003578219,0.02340358,0.0004732567,0.0002639841,0.000002397708,0.03025419,0.008679973,0.000004464701,0.7816523,0.1271779,0.02763322],"study_design_scores_gemma":[0.003995391,0.0005940993,0.09987408,0.001254286,0.0003878202,0.000001285693,0.07735685,0.05739543,0.0001334741,0.6722466,0.08586273,0.0008979503],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01608961,0.001321138,0.9664976,0.01139317,0.001396143,0.000512487,0.0005273282,0.0000269971,0.002235534],"genre_scores_gemma":[0.8245194,0.0004600046,0.1724727,0.001287902,0.0001285539,0.000006400026,0.00001115887,0.00001575435,0.001098144],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8084298,"threshold_uncertainty_score":0.5586548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03085827179294363,"score_gpt":0.3564105030624344,"score_spread":0.3255522312694907,"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."}}