{"id":"W2951961573","doi":"10.3390/su11123421","title":"CSR-Contingent Executive Compensation Incentive and Earnings Management","year":2019,"lang":"en","type":"article","venue":"Sustainability","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Corporate social responsibility; Executive compensation; Compensation (psychology); Incentive; Business; Earnings; Earnings management; Accounting; Agency (philosophy); Affect (linguistics); Economics; Microeconomics; Public relations; Psychology","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":[0.000374244,0.000149268,0.0001774631,0.00007875856,0.0001219276,0.0001070591,0.0001202029,0.00004120819,0.0000855231],"category_scores_gemma":[0.00009461234,0.0001464068,0.00004538741,0.0003047161,0.00007323497,0.0008185449,0.0002351964,0.000108635,0.0001235365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002209154,"about_ca_system_score_gemma":0.00002588398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000581576,"about_ca_topic_score_gemma":0.00003756642,"domain_scores_codex":[0.9989215,0.00001287555,0.0001917509,0.0004064351,0.0001950125,0.0002724549],"domain_scores_gemma":[0.999035,0.00002364054,0.0002445374,0.0002497713,0.0004374584,0.000009565131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007750827,0.00005170352,0.9590024,0.0004716297,0.00001408547,0.00000989053,0.0001321946,0.00003814977,0.00001118233,0.03471929,0.000677883,0.004794093],"study_design_scores_gemma":[0.0005690505,0.00001192816,0.9101064,0.00002814117,0.00002101429,2.44018e-7,0.001047691,0.0003726406,0.00001075265,0.007749489,0.07991411,0.0001685119],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851478,0.00002455224,0.0003286974,0.001077504,0.0001744749,0.0008365065,0.000001660536,0.00007046162,0.01233833],"genre_scores_gemma":[0.9965085,0.000009464522,0.00004983678,0.0004386137,0.0001053886,0.00002779964,0.000009854564,0.00001181711,0.00283871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07923622,"threshold_uncertainty_score":0.5970296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005503132761459149,"score_gpt":0.2012608781341528,"score_spread":0.1957577453726937,"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."}}