{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001015186,0.00005309491,0.0001268433,0.0000357231,0.0001510084,0.00003094408,0.00005349952,0.00003557379,0.000005242129],"category_scores_gemma":[0.00003258628,0.00004454164,0.00001396003,0.00008428087,0.00002075025,0.0002058019,0.00001094785,0.00005746305,5.381538e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000215965,"about_ca_system_score_gemma":0.00004622002,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04442994,"about_ca_topic_score_gemma":0.00265671,"domain_scores_codex":[0.9993121,0.00007522426,0.0001867423,0.000127805,0.0001815955,0.0001165086],"domain_scores_gemma":[0.999742,0.00002559461,0.00009829911,0.0000757643,0.00002257852,0.00003575041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007357932,0.00009417522,0.7278096,0.000009579435,0.000006089027,0.00007288437,0.2583685,0.0001986259,0.0000140196,0.001130134,0.00001735103,0.01227172],"study_design_scores_gemma":[0.0007555582,0.0001280098,0.7420453,0.00006754749,0.00001093951,0.00001485808,0.255707,0.0009401939,0.00001560357,0.0002018184,0.00003231772,0.00008083452],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886279,0.0002518078,0.000003898382,0.00005656457,0.0001096077,0.0003552979,3.481531e-7,0.00001680404,0.01057781],"genre_scores_gemma":[0.9997185,0.00001069009,0.00003276299,0.000002857671,0.0001059536,0.000006903946,8.180662e-8,0.000002243872,0.000119991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04177323,"threshold_uncertainty_score":0.9619333,"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."}}