{"id":"W3124373655","doi":"","title":"The Optimal Timing of CEO Compensation","year":2012,"lang":"en","type":"preprint","venue":"","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; HEC Montréal","funders":"","keywords":"Stock (firearms); Stock price; Shareholder; Executive compensation; Economics; Econometrics; Microeconomics; Incentive; Finance","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":[0.002265927,0.0004705135,0.0008148251,0.0003720167,0.0003591627,0.00201458,0.000611967,0.001827674,0.004350869],"category_scores_gemma":[0.01725302,0.0005918826,0.000203236,0.0002923217,0.0005975959,0.002534574,0.0008224044,0.001413118,0.0007491847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001098095,"about_ca_system_score_gemma":0.001756856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008685332,"about_ca_topic_score_gemma":0.0006749861,"domain_scores_codex":[0.9989268,0.0003000725,0.00007487382,0.0002569762,0.0002191537,0.0002220576],"domain_scores_gemma":[0.99604,0.001758515,0.001012499,0.0002898123,0.0003702046,0.0005289819],"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":[0.001917454,0.0004234711,0.01011149,0.0003929056,0.0001145926,0.0008124369,0.0004722021,0.2543874,0.03819077,0.5603715,0.006222838,0.1265829],"study_design_scores_gemma":[0.0005682918,0.000678662,0.01064011,0.0001581894,0.00006720042,0.0005171336,0.0005143074,0.5601009,0.01480553,0.4015735,0.01025927,0.0001169015],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4164768,0.002682885,0.5254723,0.005165621,0.0006121342,0.000266137,0.0004114796,0.0006470742,0.04826558],"genre_scores_gemma":[0.9799609,0.0003385738,0.01564092,0.0001139941,0.00007750819,0.00004475565,0.00004224948,0.00003076598,0.003750436],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004350869,"threshold_uncertainty_score":0.0145551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04497142647727206,"score_gpt":0.2374118278238717,"score_spread":0.1924404013465996,"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."}}