{"id":"W3125787042","doi":"","title":"Ex Post Settling Up in Cash Compensation: New Evidence","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":"Quest University Canada","funders":"","keywords":"Settling; Incentive; Cash; Earnings; Ex-ante; Economics; Corporate governance; Monetary economics; Econometrics; Business; Microeconomics; Accounting; Finance; Engineering; Macroeconomics","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":[0.007550203,0.0002812387,0.0005950636,0.0007690144,0.001048174,0.002262246,0.001640666,0.001950387,0.01336996],"category_scores_gemma":[0.05066258,0.0002869838,0.000445068,0.001037299,0.001772215,0.003193116,0.002020638,0.003490612,0.001305166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006799219,"about_ca_system_score_gemma":0.0006392871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001469131,"about_ca_topic_score_gemma":0.001833421,"domain_scores_codex":[0.9960697,0.0009844081,0.000465347,0.0008422398,0.001037944,0.0006003614],"domain_scores_gemma":[0.8516334,0.07133788,0.0566257,0.01162132,0.004552573,0.004229101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004626137,0.003847905,0.8012715,0.0008184012,0.0004078489,0.001191608,0.004904122,0.003077561,0.001879419,0.0304825,0.004408464,0.1430846],"study_design_scores_gemma":[0.0002184816,0.001467656,0.9593222,0.000312987,0.0002142829,0.0004689503,0.003398185,0.003432649,0.00265318,0.01715429,0.01128304,0.00007409984],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831418,0.00142118,0.00325354,0.001461011,0.00006794764,0.0000505419,0.0004193977,0.00003398703,0.01015068],"genre_scores_gemma":[0.996244,0.0003998359,0.0005817013,0.0003540406,0.00008273002,0.00001962491,0.0002642046,0.000008785915,0.002045036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01336996,"threshold_uncertainty_score":0.04472691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01764123563086586,"score_gpt":0.2245393513501875,"score_spread":0.2068981157193216,"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."}}