{"id":"W2048508143","doi":"10.1177/0097700406286188","title":"Improving Municipal Governance in China","year":2006,"lang":"en","type":"article","venue":"Modern China","topic":"China's Socioeconomic Reforms and Governance","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Bureaucracy; China; Corporate governance; Communism; Public administration; Public service; Process (computing); Service (business); Public relations; Business; Political science; Law; Marketing; Finance; Politics","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":[0.0004778648,0.0001574866,0.0002245892,0.00002629168,0.0003464745,0.00009652087,0.0004031354,0.0001219405,0.0001397271],"category_scores_gemma":[0.0000585912,0.000148249,0.00009978754,0.0001332671,0.0001558768,0.0004808805,0.00008310122,0.000263726,0.00004224294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005651605,"about_ca_system_score_gemma":0.0001254507,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2881797,"about_ca_topic_score_gemma":0.1119248,"domain_scores_codex":[0.9985381,0.00005354809,0.0002879313,0.0003307245,0.0002708638,0.0005188054],"domain_scores_gemma":[0.9994326,0.00002534793,0.0001994832,0.000265439,0.0000107539,0.0000664268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001066762,0.00062868,0.2615274,0.00008150994,0.0000273608,0.00008767169,0.1187471,0.006656985,0.0007030708,0.3792458,0.003609439,0.2285783],"study_design_scores_gemma":[0.0007841706,0.00002267863,0.8585706,0.00003710883,0.000004847222,0.000001574488,0.0002484973,0.01338898,0.00007568311,0.1048011,0.02167171,0.0003930811],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8843735,0.0006086549,0.0002038385,0.001308427,0.0002727903,0.0001692825,0.00001547871,0.00006222899,0.1129858],"genre_scores_gemma":[0.9900348,0.0001592516,0.0002095162,0.00007966706,0.0004480709,0.00001457596,0.000003928008,0.00002033031,0.009029917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5970432,"threshold_uncertainty_score":0.9042803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006488710645090028,"score_gpt":0.2406209629503227,"score_spread":0.2341322523052327,"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."}}