{"id":"W1987452561","doi":"10.1108/14720700510616604","title":"Evaluating and monitoring CEO performance: evidence from US compensation committee reports","year":2005,"lang":"en","type":"article","venue":"Corporate Governance","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Corporate governance; Accounting; Performance measurement; Originality; Proxy (statistics); Business; Balanced scorecard; Context (archaeology); Compensation (psychology); Performance indicator; Marketing; Finance; Computer science; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006205066,0.0003182716,0.0003364082,0.00004679,0.0003411879,0.0003326329,0.0002647192,0.00009443256,0.00009260596],"category_scores_gemma":[0.0002672276,0.0003273089,0.00005562225,0.0004634952,0.00009418726,0.003990015,0.000208469,0.0002606052,0.0002575648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001323687,"about_ca_system_score_gemma":0.00006274733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001304297,"about_ca_topic_score_gemma":0.0001978575,"domain_scores_codex":[0.9977354,0.00001666424,0.0005828204,0.0006547951,0.000630495,0.0003798704],"domain_scores_gemma":[0.9968214,0.00008931166,0.002219301,0.0005515067,0.0002925527,0.0000259405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007060479,0.00002929149,0.9457779,0.00008082552,0.00001097677,0.00003961015,0.00004569701,0.002324133,0.003803181,0.0002409697,0.001657225,0.04591957],"study_design_scores_gemma":[0.0004524194,0.00002304767,0.9569449,0.0007848641,0.00004520706,0.00001081568,0.0000150116,0.02554193,0.001322861,0.0006038836,0.01384415,0.000410878],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949194,0.001881896,0.0002590189,0.0007768183,0.0008809929,0.0002882004,0.00000978216,0.0001409274,0.0008430338],"genre_scores_gemma":[0.9935419,0.0007426754,0.001787383,0.0005951339,0.002690837,0.0000354763,0.00001611947,0.00004082721,0.0005496613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04550869,"threshold_uncertainty_score":0.9999179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09268229422774793,"score_gpt":0.2743286828125112,"score_spread":0.1816463885847633,"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."}}