{"id":"W3134603318","doi":"10.2139/ssrn.3725355","title":"Institutional Investor Legal Origins and Corporate GHG Emissions Disclosure Quality","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Military College Saint-Jean; University of Alberta","funders":"","keywords":"Endogeneity; Greenhouse gas; Business; Voluntary disclosure; Accounting; Sample (material); Scope (computer science); Institutional investor; Quality (philosophy); Economics; Finance; Corporate governance; Ecology","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":[0.002311453,0.0002072673,0.0002791038,0.0001013746,0.0007443374,0.0003997874,0.0002145363,0.00008919253,0.0000552625],"category_scores_gemma":[0.001771106,0.0001839503,0.0001258592,0.0005792155,0.0001651703,0.001309829,0.0001648794,0.001532072,0.00005170701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005283828,"about_ca_system_score_gemma":0.003235999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003999442,"about_ca_topic_score_gemma":0.001063657,"domain_scores_codex":[0.9974154,0.00005533515,0.0005895388,0.0003352336,0.000447749,0.001156734],"domain_scores_gemma":[0.9985819,0.00004540243,0.0009198093,0.0001300848,0.0002378638,0.00008494007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001784267,0.0000519132,0.1079235,0.00005124523,0.00007202627,0.0000398637,0.00009554393,0.0000461659,0.002734776,0.8799995,0.0002263639,0.008580684],"study_design_scores_gemma":[0.002209233,0.0001337013,0.05976344,0.00008280462,0.0002082493,0.0003486334,0.004609855,0.001640917,0.00007376391,0.7438761,0.1860107,0.001042614],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855621,0.0003891777,0.002484628,0.009087685,0.0002249713,0.0001614599,0.000003066191,0.00009900686,0.00198789],"genre_scores_gemma":[0.9957501,0.00009763795,0.00008098992,0.001539145,0.002012671,0.00000346597,0.00001361897,0.00002347552,0.000478907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1857843,"threshold_uncertainty_score":0.7501277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05119735225170628,"score_gpt":0.2767537930005056,"score_spread":0.2255564407487993,"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."}}