{"id":"W3125083133","doi":"","title":"Executive Compensation, Earnings Management and Shareholder Litigation","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Wilfrid Laurier University","funders":"","keywords":"Settlement (finance); Shareholder; Executive compensation; Affect (linguistics); Dismissal; Class action; Earnings; Earnings management; Business; Compensation (psychology); Accounting; Litigation risk analysis; Actuarial science; Economics; Finance; Law; Psychology; Political science; Corporate governance; Social 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":[0.001486935,0.0001033476,0.0002366803,0.000158253,0.0002578236,0.0001389498,0.0001536522,0.00008525661,0.0001368149],"category_scores_gemma":[0.00003251181,0.0001395478,0.00006744896,0.00008111195,0.00007903866,0.0003200966,0.00003544271,0.0008327133,0.0001970475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002700587,"about_ca_system_score_gemma":0.00007475445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002376893,"about_ca_topic_score_gemma":0.000604285,"domain_scores_codex":[0.9983377,0.00001397835,0.0004881847,0.0002607771,0.00003361845,0.0008657505],"domain_scores_gemma":[0.9993185,0.00001917834,0.0004091169,0.0001347909,0.00003460667,0.00008380027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000006903017,0.00001759112,0.06086459,0.000006235301,0.0000915159,8.340327e-7,0.0003424568,0.000005426747,0.00001453193,0.9369507,0.0002144543,0.001484782],"study_design_scores_gemma":[0.0007136686,0.00007804749,0.06987526,0.00001094572,0.000009264174,0.00009727568,0.0008415948,0.0002076785,0.00001681283,0.9008425,0.0270857,0.0002212186],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.932251,0.001083298,0.005300031,0.0009446983,0.0008933769,0.0002371836,0.00001542051,0.00003154564,0.05924339],"genre_scores_gemma":[0.9950325,0.001520487,0.0001341472,0.0001308759,0.0004266642,0.000008991415,0.000009249697,0.00002087748,0.002716203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06278145,"threshold_uncertainty_score":0.5690593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01240976958413592,"score_gpt":0.1983303061317395,"score_spread":0.1859205365476036,"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."}}