{"id":"W4403764628","doi":"10.1111/acfi.13358","title":"Carbon emissions and CEO pay","year":2024,"lang":"en","type":"article","venue":"Accounting and Finance","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Greenhouse gas; Business; Carbon fibers; Accounting; Economics; Materials science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008874586,0.0001378266,0.0002039027,0.0007124052,0.0003541489,0.001146192,0.0002132972,0.0005960262,0.009847898],"category_scores_gemma":[0.01007366,0.00007423379,0.000181496,0.0006282721,0.00024132,0.0003461556,0.0004257851,0.0006091528,0.00060621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004729245,"about_ca_system_score_gemma":0.0003982869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002305669,"about_ca_topic_score_gemma":0.003029717,"domain_scores_codex":[0.9993516,0.0001846967,0.00004142522,0.00005053659,0.0002184706,0.0001532353],"domain_scores_gemma":[0.9832297,0.00636843,0.007284133,0.0003653413,0.001253068,0.001499276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000145634,0.0002464204,0.9807315,0.00004742326,0.00006841419,0.0001198065,0.0002508061,0.0007886713,0.0002986645,0.002674564,0.001499019,0.01312909],"study_design_scores_gemma":[0.000009051358,0.00006035801,0.9957337,0.00002347891,0.0000144066,0.00007246347,0.0004557342,0.0005129941,0.0001593887,0.001320014,0.001631077,0.000007530335],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865761,0.0007650277,0.0001317009,0.0009920334,0.00004700287,0.00000641863,0.0001913401,0.000006121814,0.01128423],"genre_scores_gemma":[0.9983824,0.0001057121,0.00002157741,0.00004302548,0.00003415672,0.000001740057,0.00008224727,0.000001034153,0.001328105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009847898,"threshold_uncertainty_score":0.03294456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005765038815221423,"score_gpt":0.2009271230774992,"score_spread":0.1951620842622778,"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."}}