{"id":"W2163605903","doi":"10.1177/1010539514565446","title":"Socioeconomic Inequities in Health Care Utilization in China","year":2015,"lang":"en","type":"article","venue":"Asia Pacific Journal of Public Health","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Socioeconomic status; Health care; Health equity; Environmental health; Context (archaeology); China; Cornerstone; Health policy; Social determinants of health; Index (typography); Business; Medicine; Economic growth; Geography; Economics; Population","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":[0.0009260998,0.0002616427,0.000274128,0.002560208,0.000835671,0.0006544022,0.0003463931,0.0002390672,0.0009151013],"category_scores_gemma":[0.001475709,0.0001585797,0.0004620135,0.003047635,0.000490786,0.000557036,0.001207901,0.0002880633,0.00004461014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002409593,"about_ca_system_score_gemma":0.001897327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1032633,"about_ca_topic_score_gemma":0.1292252,"domain_scores_codex":[0.9992561,0.0001445623,0.00008926504,0.00008945516,0.0001559221,0.0002646986],"domain_scores_gemma":[0.9992349,0.00009767887,0.0002763634,0.00006189414,0.0001256193,0.000203464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002223411,0.00002920925,0.993083,0.00001646978,0.0000757634,0.0001267317,0.0004668028,0.0004842579,0.0001107906,0.000713587,0.0001244498,0.004746665],"study_design_scores_gemma":[0.00000166811,0.00001181425,0.9980562,0.000009320901,0.00001103721,0.00003459319,0.0003622522,0.001017308,0.00002869693,0.0002713054,0.0001907365,0.00000515803],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989024,0.0001820515,0.00006421448,0.0001467941,0.000002376379,0.000005015843,0.0001364305,0.000001474773,0.0005591758],"genre_scores_gemma":[0.9997651,0.000063299,0.00002281073,0.0000121611,0.000002588789,0.000002109218,0.00007825482,2.938176e-7,0.00005336103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1032633,"threshold_uncertainty_score":0.2053245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1287327406825483,"score_gpt":0.3180383192895599,"score_spread":0.1893055786070116,"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."}}