{"id":"W4320919605","doi":"10.5539/ass.v19n2p15","title":"The Impact of Income Inequality on Health of Chinese Residents — Decomposition Based on Individual Effect and Macro Effect","year":2023,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Global Health Care Issues","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Macro; Economics; Life expectancy; Inequality; Economic inequality; Demographic economics; China; Macro level; Income distribution; Income inequality metrics; Econometrics; Macroeconomics; Mathematics; Geography; Environmental health; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002615103,0.0004027073,0.0005513913,0.002051831,0.0004651574,0.0007502972,0.0004385591,0.0002472237,0.001985639],"category_scores_gemma":[0.004115317,0.0001794017,0.0014739,0.001598861,0.0006817326,0.0007474679,0.001485352,0.0004979785,0.00009159692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001480595,"about_ca_system_score_gemma":0.001522487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05952211,"about_ca_topic_score_gemma":0.0527207,"domain_scores_codex":[0.9985487,0.0004216079,0.0001155913,0.0002414082,0.0004089783,0.0002637115],"domain_scores_gemma":[0.9979462,0.0007599401,0.0005012992,0.0002368534,0.0003603124,0.0001953343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004907626,0.00002531709,0.9784007,0.00006448511,0.0003487472,0.0001298655,0.0003890608,0.002093731,0.0003339665,0.002333046,0.0003251264,0.01550681],"study_design_scores_gemma":[0.000003428238,0.00003596494,0.9921702,0.00001943965,0.0001978708,0.00003268059,0.0002641472,0.005496979,0.0002211464,0.0009199813,0.0006278816,0.00001033266],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839596,0.001166544,0.0082957,0.0008187655,0.00005569804,0.00009356059,0.001239824,0.00002695074,0.004343309],"genre_scores_gemma":[0.9977188,0.0002913897,0.0008752816,0.00005008096,0.00003117419,0.00003659444,0.0003906107,0.000003898608,0.0006023197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05952211,"threshold_uncertainty_score":0.1183513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02866017622896748,"score_gpt":0.5160565962890062,"score_spread":0.4873964200600387,"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."}}