{"id":"W4309857774","doi":"10.3390/jrfm15120550","title":"Board Directorships and Carbon Emissions: Curvilinear Relationships and Moderating Roles of Other Board Characteristics","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curvilinear coordinates; Corporate governance; Generalized method of moments; On board; Independence (probability theory); Business; Gender diversity; Accounting; Index (typography); Diversity (politics); Econometrics; Economics; Political science; Panel data; Geography; Mathematics; Computer science; Finance; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003037851,0.0003032375,0.0003886164,0.0009977348,0.0005984794,0.001177267,0.0004892264,0.0004315727,0.003900371],"category_scores_gemma":[0.01096222,0.0002133326,0.0007580161,0.001635159,0.0006330123,0.0007331036,0.001243736,0.0008168734,0.0004268843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000667966,"about_ca_system_score_gemma":0.001338535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02778655,"about_ca_topic_score_gemma":0.05100811,"domain_scores_codex":[0.99753,0.001017598,0.000195441,0.0005035729,0.0002855109,0.0004678564],"domain_scores_gemma":[0.9809474,0.007507295,0.007898781,0.001173463,0.001080231,0.001392807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001935805,0.00001620817,0.9977248,0.000004716071,0.0000505278,0.00002510394,0.0001002664,0.0002007548,0.00006526418,0.0001214803,0.00009707766,0.001574441],"study_design_scores_gemma":[0.000002998286,0.00003369677,0.9975137,0.00000759014,0.00003543334,0.00002733004,0.0003482582,0.001083057,0.0001058626,0.0001684969,0.0006688681,0.00000480917],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957393,0.0003233366,0.00153671,0.0003219737,0.0000208821,0.00002381179,0.0005379014,0.00001972584,0.001476308],"genre_scores_gemma":[0.9980621,0.00009871108,0.0004249486,0.0000437266,0.00001037926,0.00001424213,0.0003717743,0.000004754258,0.0009694248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02778655,"threshold_uncertainty_score":0.05524963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02137531721956033,"score_gpt":0.22974065107405,"score_spread":0.2083653338544897,"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."}}