{"id":"W3123538952","doi":"","title":"CSR-Contingent Executive Compensation Incentive and Earnings Management","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Executive compensation; Corporate social responsibility; Compensation (psychology); Incentive; Business; Earnings; Accounting; Earnings management; 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":[0.003102032,0.0002499121,0.0002422668,0.0007834638,0.0006621233,0.001471765,0.0004346119,0.0006804253,0.004863298],"category_scores_gemma":[0.01802768,0.0000914694,0.0002060459,0.0006095039,0.0009762876,0.001167212,0.001037535,0.0009168037,0.0004398339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00103035,"about_ca_system_score_gemma":0.001152956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00167287,"about_ca_topic_score_gemma":0.003293781,"domain_scores_codex":[0.997637,0.0009002585,0.0001686082,0.0002181218,0.0006658569,0.0004100868],"domain_scores_gemma":[0.9505811,0.01261242,0.03029753,0.001481299,0.002186051,0.002841619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003660883,0.001471186,0.9164533,0.0001034589,0.0001103891,0.0002794287,0.001284341,0.002295166,0.001489419,0.02412521,0.0009304144,0.05109159],"study_design_scores_gemma":[0.00002974981,0.0005061605,0.9781884,0.00009408965,0.00005234047,0.0001688033,0.001606514,0.004230158,0.0007773413,0.01057506,0.003732615,0.00003880958],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832887,0.000396102,0.001239845,0.0005480375,0.00001839099,0.00002912869,0.00004778538,0.000008168958,0.01442376],"genre_scores_gemma":[0.9990495,0.00005027614,0.0001477898,0.00002721841,0.00001475409,0.000003433202,0.00002454396,7.808754e-7,0.0006816525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004863298,"threshold_uncertainty_score":0.01640534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005194421820796635,"score_gpt":0.1850257049898891,"score_spread":0.1798312831690925,"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."}}