{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002286694,0.00009904565,0.0002922765,0.0001880074,0.0001911063,0.0000421855,0.0001050758,0.00009133878,0.0001045777],"category_scores_gemma":[0.00002262917,0.00009657979,0.00004694746,0.0001797578,0.00004066809,0.0003034794,0.00004720595,0.0001389295,0.00001996946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001614878,"about_ca_system_score_gemma":0.00003859524,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06430444,"about_ca_topic_score_gemma":0.008528911,"domain_scores_codex":[0.9990389,0.00002202088,0.0004257625,0.0002363462,0.00002910751,0.0002478573],"domain_scores_gemma":[0.9995286,0.00000398615,0.0001915368,0.0001758578,0.00001545796,0.00008448998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003847006,0.00002042379,0.8015505,0.00007450971,0.000005172401,6.817305e-7,0.009251189,0.000006652993,3.084769e-8,0.1865164,0.0004503043,0.002120241],"study_design_scores_gemma":[0.0002168177,0.00002458664,0.9738613,0.00002588203,3.757261e-7,0.000002686999,0.001085118,0.00007098795,2.693458e-7,0.02039696,0.00419519,0.0001198369],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9291363,0.01580982,0.001189423,0.02811843,0.001375493,0.0007696083,0.0001780756,0.00009454186,0.02332829],"genre_scores_gemma":[0.9978974,0.0002903197,0.000727728,0.0003314259,0.00006252717,0.00003187729,0.00003136507,0.00001574243,0.0006115673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1723108,"threshold_uncertainty_score":0.9419264,"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."}}