{"id":"W1740207042","doi":"10.2139/ssrn.1662594","title":"The Impact of Risk and Monitoring on CEO Compensation","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Business; Compensation (psychology); Executive compensation; Corporate governance; Psychology; Finance; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004557387,0.0002906498,0.0004150407,0.0008047267,0.0007291614,0.003530608,0.0006161034,0.002308452,0.007515864],"category_scores_gemma":[0.04909162,0.0002467943,0.0004510384,0.0007611107,0.0007137814,0.001799116,0.000834848,0.001641806,0.0006266168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001510677,"about_ca_system_score_gemma":0.001253659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00589323,"about_ca_topic_score_gemma":0.01047815,"domain_scores_codex":[0.9976547,0.001051615,0.0001288667,0.0001899629,0.0004523571,0.0005223792],"domain_scores_gemma":[0.8954582,0.07057335,0.02355242,0.002239076,0.003765059,0.004411974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004565618,0.001120729,0.8923252,0.0001168535,0.0003801038,0.00105741,0.0007878936,0.01595724,0.002519981,0.01660415,0.003127272,0.0614376],"study_design_scores_gemma":[0.0001068519,0.0006759585,0.9637431,0.00005069335,0.0002961067,0.0002782971,0.000901808,0.01621324,0.001513034,0.01405055,0.00211395,0.00005640354],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843013,0.001597505,0.0004510774,0.002505868,0.00004712426,0.000008978858,0.0001356714,0.00001856005,0.01093393],"genre_scores_gemma":[0.9984869,0.0001625377,0.00004141796,0.00005575719,0.00003651736,0.000001166759,0.00002708928,0.000002724409,0.001185714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007515864,"threshold_uncertainty_score":0.02514309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007531695556031186,"score_gpt":0.2267848397686867,"score_spread":0.2192531442126555,"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."}}