{"id":"W2074944797","doi":"10.1007/s10551-009-0194-x","title":"Business Responses to Climate Change Regulation in Canada and Germany: Lessons for MNCs from Emerging Economies","year":2009,"lang":"en","type":"article","venue":"Journal of Business Ethics","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":94,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"European Commission","keywords":"Business ethics; Multinational corporation; Emerging markets; Quality of Life Research; International business; Climate change; Business; Economy; Economics; Political science; Management; Law; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002430321,0.000189783,0.0004591933,0.0004612389,0.0002352126,0.0002519058,0.0001720594,0.0001322633,0.00001145011],"category_scores_gemma":[0.005510774,0.000190268,0.00005170069,0.0009066506,0.00003302958,0.001400923,0.00009455424,0.0003410942,0.000001283214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003268041,"about_ca_system_score_gemma":0.001029651,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2720467,"about_ca_topic_score_gemma":0.6843997,"domain_scores_codex":[0.9981186,0.00004290638,0.0009285358,0.0002347704,0.0003566558,0.0003185175],"domain_scores_gemma":[0.996078,0.000636116,0.001310178,0.0001712892,0.001771522,0.00003285309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008659669,0.0003167814,0.5409276,0.002040552,0.0001304714,0.0006085635,0.006172316,0.007581477,0.01326446,0.01955144,0.001319816,0.3994269],"study_design_scores_gemma":[0.0004920022,0.000008350778,0.9831826,0.0004348574,0.00004745763,0.000008696249,0.0005595781,0.001105881,0.00003900292,0.009699425,0.004199595,0.0002225497],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9350318,0.0001572453,0.0006651651,0.063173,0.0005973387,0.0002873238,0.00001090425,0.00001425461,0.00006295021],"genre_scores_gemma":[0.994647,0.00012124,0.0007104737,0.003090834,0.001371893,0.00000681224,0.00000871873,0.00002379147,0.00001926007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.442255,"threshold_uncertainty_score":0.7758904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.114789295434967,"score_gpt":0.3189336038848424,"score_spread":0.2041443084498754,"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."}}