{"id":"W2890086048","doi":"10.1002/csr.1662","title":"The effect of greenhouse gas emissions on cost of debt: Evidence from Canadian firms","year":2018,"lang":"en","type":"article","venue":"Corporate Social Responsibility and Environmental Management","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"Greenhouse gas; Debt; Tonne; Natural resource economics; Creditor; Business; Sample (material); Environmental economics; Economics; Finance; Waste management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00210365,0.0002885963,0.0004216382,0.002485252,0.002065326,0.002661262,0.001032424,0.0005991326,0.00302844],"category_scores_gemma":[0.01813214,0.0002541157,0.0005276478,0.009178941,0.001321964,0.0007152066,0.0007987927,0.001099959,0.0001620056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02737078,"about_ca_system_score_gemma":0.0199549,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9902773,"about_ca_topic_score_gemma":0.9929796,"domain_scores_codex":[0.9972855,0.0003643679,0.0001272746,0.0002210286,0.001394783,0.0006069884],"domain_scores_gemma":[0.9665424,0.008468753,0.01174257,0.0009859416,0.01035123,0.001909075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001909017,0.00009204035,0.9816389,0.0001338374,0.0001940761,0.0002524053,0.0009203443,0.001338134,0.0001551302,0.002157185,0.002729543,0.01019761],"study_design_scores_gemma":[0.00001471496,0.00001983372,0.9940783,0.0000657335,0.00009108204,0.00003690665,0.001635095,0.0007057037,0.0001570837,0.0001965712,0.00297312,0.00002589194],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740734,0.002624244,0.0001422699,0.002342792,0.00001519146,0.00002968136,0.00389095,0.00001038609,0.01687104],"genre_scores_gemma":[0.9958566,0.001673535,0.00006862093,0.0001296444,0.000009513612,0.000004360865,0.001212019,0.000002729527,0.001043048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02737078,"threshold_uncertainty_score":0.1985899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02787231822291056,"score_gpt":0.2494449165216615,"score_spread":0.2215725982987509,"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."}}