{"id":"W2147681219","doi":"10.2139/ssrn.1498776","title":"Fiscal Reform and Rural Public Finance in China","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Local Government Finance and Decentralization","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"China; Public finance; Finance; Economics; Economic policy; Business; Financial system; Political science; Macroeconomics","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":[0.0008396715,0.0001963342,0.0005386791,0.001693223,0.002182469,0.002413264,0.0004496588,0.0006223352,0.003853174],"category_scores_gemma":[0.001274542,0.0002014804,0.0002899994,0.002984818,0.001750373,0.0009011608,0.001201252,0.0006116154,0.0001112794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01008366,"about_ca_system_score_gemma":0.01631799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.212454,"about_ca_topic_score_gemma":0.3258594,"domain_scores_codex":[0.9994042,0.00009443452,0.00002501662,0.00004990512,0.00006351848,0.0003629074],"domain_scores_gemma":[0.9989474,0.0001238798,0.0003625223,0.00005164432,0.0001661373,0.000348494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004742517,0.0004619845,0.680705,0.000274598,0.0001818175,0.001699929,0.008283427,0.01069534,0.001723398,0.255713,0.006602313,0.0331851],"study_design_scores_gemma":[0.0001773095,0.0002036616,0.9478495,0.00006858818,0.0001138476,0.0001304918,0.006559427,0.005670751,0.0005193214,0.02027394,0.01838517,0.00004806161],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865784,0.0008347682,0.0001268934,0.003012759,0.00001183381,0.00001486462,0.0001487345,0.00001634237,0.009255286],"genre_scores_gemma":[0.9975649,0.0002656836,0.00002334534,0.0001071758,0.00001703325,0.000003386414,0.00004803511,0.000001450827,0.001969002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.212454,"threshold_uncertainty_score":0.4224347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005690319254908111,"score_gpt":0.2479265265696398,"score_spread":0.2422362073147316,"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."}}