{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003188049,0.0002355734,0.0002279214,0.0007739766,0.0006844776,0.001477432,0.0003997379,0.0006468315,0.004614513],"category_scores_gemma":[0.01795585,0.0000866866,0.0001983457,0.0006098363,0.001011909,0.001183306,0.001051286,0.0008588097,0.0003920987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00110293,"about_ca_system_score_gemma":0.001258581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001872975,"about_ca_topic_score_gemma":0.003865326,"domain_scores_codex":[0.9975814,0.0009345904,0.0001713857,0.0002208834,0.0006679726,0.0004238018],"domain_scores_gemma":[0.9536877,0.01171267,0.02840834,0.00139345,0.002204703,0.002593157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002870556,0.001237304,0.9182351,0.00009122516,0.00009860424,0.0002469908,0.001284973,0.00210627,0.001295804,0.02369016,0.0008950973,0.05053147],"study_design_scores_gemma":[0.00002535344,0.0004435665,0.9766002,0.00009866542,0.00005186475,0.0001561823,0.001920451,0.004210688,0.0008146106,0.01124348,0.004396811,0.00003815524],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820125,0.000375792,0.001315463,0.0005928316,0.00001803951,0.00002834622,0.0000450961,0.000007918866,0.01560408],"genre_scores_gemma":[0.9990777,0.00004760247,0.000147119,0.00002696314,0.0000134419,0.000003402552,0.00002166609,7.566834e-7,0.0006613744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004614513,"threshold_uncertainty_score":0.01686019,"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."}}