{"id":"W2800987953","doi":"10.2495/sdp-v13-n5-773-789","title":"Assessment system and empirical study on China’s local governance quality","year":2018,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Corporate governance; Quality (philosophy); Business; Empirical research; Local governance; Environmental economics; Environmental planning; Environmental resource management; Environmental science; Political science; Economics; Statistics; Mathematics; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005054991,0.0003030739,0.0003923257,0.004999969,0.0009435514,0.00187464,0.0006149389,0.0002988905,0.002221198],"category_scores_gemma":[0.01355763,0.0001856108,0.0006592702,0.01037055,0.001099737,0.001693039,0.001401466,0.0004689381,0.0001958377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004845067,"about_ca_system_score_gemma":0.00442285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07283863,"about_ca_topic_score_gemma":0.04309552,"domain_scores_codex":[0.9955123,0.001225977,0.0005490124,0.0007162685,0.001561967,0.0004343924],"domain_scores_gemma":[0.9882798,0.002997746,0.002046442,0.0007475405,0.005244801,0.0006837536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003399402,0.00008426175,0.9597829,0.0001565144,0.0001253386,0.0001601924,0.003385596,0.003786539,0.0002821728,0.00333188,0.001770075,0.02710052],"study_design_scores_gemma":[0.00001127035,0.00008875798,0.9675693,0.00007866416,0.00009105286,0.00005352405,0.007559707,0.01892873,0.0004824365,0.001218667,0.003885861,0.00003199907],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859304,0.000188287,0.003590539,0.0003549349,0.000012874,0.0001329242,0.001142822,0.0000421132,0.008604982],"genre_scores_gemma":[0.9975817,0.00009902044,0.0007987455,0.00002454958,0.000007955214,0.00007276765,0.0007955345,0.000004323509,0.0006154547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07283863,"threshold_uncertainty_score":0.1448293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02583400780087637,"score_gpt":0.351626481054542,"score_spread":0.3257924732536657,"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."}}