{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00963176,0.00007601899,0.0002216496,0.001433271,0.0007962286,0.00519969,0.0005722814,0.001255877,0.007153679],"category_scores_gemma":[0.06424178,0.0001616574,0.0002412169,0.001502088,0.002179104,0.002213476,0.001321704,0.00169557,0.0003484537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002342365,"about_ca_system_score_gemma":0.002019606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006829177,"about_ca_topic_score_gemma":0.01005651,"domain_scores_codex":[0.9962435,0.00093987,0.0003900323,0.0003807673,0.001165366,0.000880533],"domain_scores_gemma":[0.8787531,0.05834261,0.04688903,0.004201714,0.008371005,0.003442572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005132565,0.0003300137,0.8799546,0.0001049114,0.0001734642,0.0005770227,0.002508803,0.001428741,0.00117958,0.08171223,0.002790137,0.02872742],"study_design_scores_gemma":[0.00007057007,0.0001323873,0.9497691,0.0001809482,0.0001744933,0.0002948962,0.003906184,0.002111586,0.004120988,0.02998875,0.009198,0.0000521712],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9540349,0.001145187,0.001614779,0.005524128,0.00004021962,0.00004026755,0.0003208874,0.00003081176,0.03724885],"genre_scores_gemma":[0.9984675,0.0001109147,0.00009521039,0.0001828711,0.00002523466,0.000003152323,0.0000545504,0.000005452073,0.001055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00963176,"threshold_uncertainty_score":0.05093825,"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."}}