{"id":"W2116017359","doi":"10.4000/eps.4345","title":"Health Care Access and Regional Disparities in China","year":2011,"lang":"en","type":"article","venue":"Espace populations sociétés","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Congress of Aboriginal Peoples; University of Ottawa","funders":"","keywords":"Disadvantaged; Residence; Equity (law); China; Socioeconomic status; Health care; Health equity; Business; Geography; Socioeconomics; Welfare; Economic growth; Demographic economics; Environmental health; Political science; Medicine; Population; Economics","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":[0.0007213401,0.0001601352,0.0003286012,0.001794271,0.0009177388,0.0005312954,0.0004254603,0.0002358752,0.001963609],"category_scores_gemma":[0.001541417,0.0001113418,0.0004739497,0.002777647,0.0004554711,0.0003514691,0.001071899,0.0002932355,0.0000612666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002529987,"about_ca_system_score_gemma":0.003254763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2373924,"about_ca_topic_score_gemma":0.2584893,"domain_scores_codex":[0.9994838,0.00007661114,0.00004732984,0.00009479684,0.0000871411,0.0002103234],"domain_scores_gemma":[0.9992384,0.00009080709,0.0002886688,0.00005630248,0.0001131985,0.0002127092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002859205,0.00004575677,0.9887659,0.00004264316,0.00006852991,0.0001707287,0.0008770495,0.0002988335,0.000143698,0.001071253,0.0005275907,0.007959425],"study_design_scores_gemma":[0.00000347257,0.00001100153,0.9987955,0.00001371847,0.00001212204,0.00003231232,0.0002749254,0.0002925779,0.00002093277,0.0001929723,0.0003466763,0.000003730765],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967525,0.0006848017,0.00005694509,0.0005807504,0.000008120972,0.00001501413,0.0004341831,0.000005787867,0.001461982],"genre_scores_gemma":[0.9994412,0.0001445482,0.00003204777,0.00004996468,0.000005302301,0.00000527743,0.0001757391,7.524926e-7,0.0001451497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2373924,"threshold_uncertainty_score":0.4720212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2371231440213391,"score_gpt":0.3890339523804103,"score_spread":0.1519108083590713,"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."}}