{"id":"W2601548503","doi":"10.2495/sdp-v12-n6-987-994","title":"The sino-singapore tianjin eco-city: A case study of Chinese experimental regulatory and institutional development","year":2017,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Urban Planning and Governance","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Chinese city; Environmental planning; Business; Sustainable development; Environmental protection; Geography; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001247814,0.0001065743,0.0001488577,0.0001106761,0.002348526,0.0003672863,0.0003304422,0.00004245516,0.00000619714],"category_scores_gemma":[0.0003804227,0.00007938169,0.00002075562,0.00004055827,0.0002339442,0.0005038338,0.0001614769,0.0001421604,2.239373e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002004874,"about_ca_system_score_gemma":0.0007224872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005343551,"about_ca_topic_score_gemma":0.0001631386,"domain_scores_codex":[0.9986476,0.00004886782,0.0003907,0.0001160927,0.0006081972,0.000188488],"domain_scores_gemma":[0.9986676,0.0001272289,0.0006154393,0.0000685662,0.0004316179,0.00008957695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002666568,0.0002261291,0.6340736,0.00001523423,0.0003437036,0.01979272,0.3331194,0.00006117374,0.00002804664,0.001676049,0.0005207386,0.009876553],"study_design_scores_gemma":[0.001646817,0.00009441442,0.5091488,0.0001889718,0.00001280592,0.001619229,0.436985,0.00003149394,0.0002629511,0.0002056123,0.04958675,0.0002172253],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997015,0.0009412038,0.00003299096,0.0002177748,0.0004284253,0.0001075273,9.798426e-7,0.000004671929,0.001251438],"genre_scores_gemma":[0.9977644,0.00001306009,0.0006497475,0.00001825932,0.0001860454,0.00000357603,0.000001177154,0.000004520737,0.001359225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1249248,"threshold_uncertainty_score":0.9989503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02665147835625456,"score_gpt":0.3247571257462037,"score_spread":0.2981056473899492,"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."}}