{"id":"W2186503255","doi":"","title":"Monitoring and Evaluation in China's Urban Planning System: A Case Study of Xuzhou","year":2009,"lang":"en","type":"article","venue":"","topic":"China's Socioeconomic Reforms and Governance","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Xuzhou; China; Environmental planning; Urban planning; Geography; History; Engineering; Civil engineering; Ancient history; Archaeology","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":[0.00556369,0.0002663344,0.0003520029,0.001520469,0.003135845,0.00205426,0.001325694,0.000824982,0.001263817],"category_scores_gemma":[0.006195391,0.000241617,0.0002052978,0.003299095,0.001828243,0.001167226,0.001752488,0.0005307996,0.00006961293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01013134,"about_ca_system_score_gemma":0.01219277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2303201,"about_ca_topic_score_gemma":0.2934298,"domain_scores_codex":[0.9962854,0.002148218,0.0001621847,0.0002554965,0.0005577795,0.0005908362],"domain_scores_gemma":[0.9947894,0.002077973,0.0009127102,0.0004812622,0.00115091,0.0005878062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003205661,0.0006855624,0.7782496,0.0002519091,0.0001222443,0.003346608,0.0596879,0.01962949,0.003469938,0.01139892,0.004312241,0.1185249],"study_design_scores_gemma":[0.0000701083,0.0007516551,0.8432172,0.0001235551,0.0001433983,0.000295261,0.08750618,0.04650762,0.003557416,0.002225202,0.01549907,0.0001033736],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949823,0.00008294254,0.0005061869,0.0003547989,0.000003646577,0.00008371456,0.00005160604,0.00001855588,0.003916156],"genre_scores_gemma":[0.9987877,0.00003797566,0.0004605631,0.00001948785,0.000001939721,0.00002063951,0.00002928513,0.000002340681,0.0006400847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2303201,"threshold_uncertainty_score":0.4579591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03187906450338905,"score_gpt":0.3524500293328751,"score_spread":0.320570964829486,"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."}}