{"id":"W3125736626","doi":"","title":"CEO Successor Compensation: Outside vs. Inside Successions","year":2009,"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":"University of Windsor","funders":"","keywords":"Successor cardinal; Salary; Compensation (psychology); Business; Bargaining power; Sample (material); Executive compensation; Power (physics); Information asymmetry; Accounting; Industrial organization; Economics; Microeconomics; Market economy; Finance; Mathematics; 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":[0.002688093,0.0001797942,0.000366606,0.0009927195,0.001120284,0.002387134,0.000343538,0.0004433324,0.01274918],"category_scores_gemma":[0.01359511,0.0001708918,0.0002354802,0.0006514526,0.0008862237,0.001241549,0.001169119,0.0005281218,0.0009777779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007744657,"about_ca_system_score_gemma":0.001023113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001381289,"about_ca_topic_score_gemma":0.003149338,"domain_scores_codex":[0.9984038,0.0003789849,0.00008533245,0.0002072641,0.0004421431,0.0004824313],"domain_scores_gemma":[0.9921222,0.00184766,0.002741912,0.000319079,0.0007859181,0.002183206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001670382,0.0005564499,0.884424,0.0001539808,0.00005791477,0.001176029,0.002774081,0.00251177,0.001716864,0.03110672,0.003058779,0.07079299],"study_design_scores_gemma":[0.0001452989,0.0007378301,0.9685124,0.0001496891,0.00008129396,0.001569599,0.00576116,0.00378509,0.00134932,0.009727504,0.008148294,0.00003255837],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9573725,0.0003924923,0.001090633,0.000578555,0.00007092475,0.0000188312,0.00004795833,0.00001194756,0.04041627],"genre_scores_gemma":[0.9976579,0.00004771427,0.00009355383,0.00004724305,0.00003641487,0.000003425374,0.00002437643,0.000002846274,0.002086558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01274918,"threshold_uncertainty_score":0.04265028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01162567382292318,"score_gpt":0.2246220137635685,"score_spread":0.2129963399406453,"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."}}