{"id":"W4318476387","doi":"10.3390/su15032379","title":"Corporate Environmental Compliance in China: From Social Responsibility to Soft Law","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Regulation and Compliance Studies","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"National Social Science Fund of China","keywords":"Compliance (psychology); Environmental compliance; Business; Corporate social responsibility; Environmental law; Environmental management system; Social responsibility; China; Corporate governance; Public relations; Environmental resource management; Political science; Law; Economics; Ecology; Psychology","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":[0.0006027227,0.0001727348,0.0002557948,0.0001144916,0.0003728,0.0001090964,0.0002148925,0.00005310483,0.0001607292],"category_scores_gemma":[0.0002708905,0.0001770067,0.00007548498,0.0007899946,0.0002323555,0.0004267698,0.0004238444,0.000125161,0.0004868543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004127528,"about_ca_system_score_gemma":0.00003499337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001618485,"about_ca_topic_score_gemma":0.0008969498,"domain_scores_codex":[0.9985179,0.00004280849,0.0003048229,0.0005063129,0.0002415441,0.0003866343],"domain_scores_gemma":[0.9993851,0.00005369865,0.0001276057,0.0003231246,0.0000941343,0.00001634385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005609752,0.0002422542,0.9324299,0.000207669,0.00001797964,0.00003681394,0.000953196,0.0005497904,0.0002062861,0.04688354,0.004693668,0.01321799],"study_design_scores_gemma":[0.0002721183,0.000004563783,0.7860646,0.000006524587,0.000004027421,4.23449e-8,0.001103717,0.001150093,0.000006285818,0.1998019,0.01143318,0.0001529165],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875645,0.000013407,0.00009592188,0.008800511,0.0001689026,0.0005659712,0.00001933016,0.000211117,0.002560355],"genre_scores_gemma":[0.9980902,5.985654e-7,0.00003071515,0.0009353518,0.0002900501,0.00006865211,0.00005324044,0.00001501959,0.000516155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1529184,"threshold_uncertainty_score":0.7218122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03969731278593044,"score_gpt":0.2758394760978486,"score_spread":0.2361421633119181,"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."}}