{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0101194,0.0001663983,0.0009859696,0.001216967,0.00007943947,0.0000826375,0.0002435374,0.0001461597,0.00004251516],"category_scores_gemma":[0.000205465,0.000153849,0.0001019033,0.0004252371,0.00004480455,0.0006606076,0.00003079,0.0005083265,0.00005969341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003367435,"about_ca_system_score_gemma":0.002998878,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008173412,"about_ca_topic_score_gemma":0.001700501,"domain_scores_codex":[0.9956881,0.0002616692,0.00295348,0.0002497592,0.0001020816,0.0007448921],"domain_scores_gemma":[0.9970672,0.00001656846,0.001935056,0.0002238773,0.0001071939,0.0006501721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002132351,0.0002321893,0.7443406,0.0007424952,0.00002976483,0.00001713216,0.08410794,0.0001390293,1.468756e-7,0.06794298,0.003799174,0.0986272],"study_design_scores_gemma":[0.003371887,0.001282278,0.5931548,0.0003090133,3.915599e-7,0.0001379067,0.107843,0.0003668644,7.360024e-7,0.01009711,0.2830425,0.0003936023],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8004717,0.05625152,0.002742783,0.1157581,0.003400124,0.0008699202,0.0001156605,0.00003498045,0.02035526],"genre_scores_gemma":[0.9969819,0.001842601,0.0002597476,0.0004374139,0.0002500544,0.000006516486,0.000019197,0.00002627932,0.0001763303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2792433,"threshold_uncertainty_score":0.9984313,"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."}}