{"id":"W2169299844","doi":"10.1068/c12101","title":"Regulatory Uncertainty and Corporate Pollution Control Strategies: An Empirical Study of the ‘Pay for Permit’ Policy in the Tai Lake Basin","year":2014,"lang":"en","type":"article","venue":"Environment and Planning C Government and Policy","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Enforcement; Control (management); Public economics; China; Willingness to pay; Investment (military); Business; Empirical research; Economics; Set (abstract data type); Microeconomics; Political science","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":[0.001510544,0.00016459,0.0002476013,0.0005913813,0.00132012,0.001099639,0.0004283983,0.0006261136,0.001213323],"category_scores_gemma":[0.003624324,0.0001752895,0.0003213161,0.0009418107,0.001359761,0.0009637723,0.0007903528,0.0008001286,0.0000608688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003316465,"about_ca_system_score_gemma":0.00279621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07982675,"about_ca_topic_score_gemma":0.1152878,"domain_scores_codex":[0.9991099,0.0003337513,0.00005711713,0.00008751835,0.0001700571,0.0002415574],"domain_scores_gemma":[0.9955664,0.001855079,0.001692508,0.0001332352,0.0003580755,0.0003946586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001245695,0.0008432086,0.9785008,0.00003709856,0.00009354369,0.0004036533,0.007410614,0.003714687,0.0006938559,0.001594415,0.000239954,0.006343593],"study_design_scores_gemma":[0.00002037755,0.0001536717,0.9801133,0.0000148002,0.00003967734,0.0000278692,0.01067095,0.007526195,0.0003641041,0.0004129828,0.0006396231,0.00001649282],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996997,0.00000755434,0.00002001692,0.00004744555,2.551643e-7,0.000002489535,0.000004271745,2.585488e-7,0.0002179735],"genre_scores_gemma":[0.9998527,0.00001582452,0.00001575561,0.00001161562,9.367402e-7,0.000002996877,0.000011914,1.983155e-7,0.00008812398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07982675,"threshold_uncertainty_score":0.1587242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01581391443343183,"score_gpt":0.2489519412029552,"score_spread":0.2331380267695234,"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."}}