{"id":"W2037152264","doi":"10.1108/03074351211193721","title":"The economic determinants of compensation committee quality","year":2011,"lang":"en","type":"article","venue":"Managerial Finance","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Audit committee; Compensation (psychology); Accounting; Quality (philosophy); Incentive; Corporate governance; Shareholder; Affect (linguistics); Business; Executive compensation; Originality; Audit; Quality audit; Actuarial science; Economics; Finance; Psychology; Political science; Law; Microeconomics","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":[],"consensus_categories":[],"category_scores_codex":[0.0004312404,0.0001221828,0.0002091899,0.00003266423,0.000197703,0.00005861434,0.0003989248,0.00003963431,0.00005425631],"category_scores_gemma":[0.00004214031,0.0001002078,0.00006884533,0.0001327545,0.0001222195,0.0005534558,0.0001178176,0.00005858154,0.0003194656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002707082,"about_ca_system_score_gemma":0.00001943073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003385457,"about_ca_topic_score_gemma":0.002282972,"domain_scores_codex":[0.9990996,0.00001221994,0.0003900047,0.0001963539,0.0001037024,0.0001981124],"domain_scores_gemma":[0.9988232,0.00003804269,0.0006873537,0.0003975757,0.00005050466,0.000003274356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0006163294,0.00007902217,0.4135976,0.0001927805,0.00002072685,0.00001598787,0.0001177792,0.0001002192,0.0001834601,0.5015661,0.01211736,0.07139269],"study_design_scores_gemma":[0.0003868791,0.00001006478,0.8742561,0.00002770239,0.00001114729,3.464743e-7,0.00002594472,0.0007128354,0.0003261812,0.008669634,0.1154157,0.0001574049],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793381,0.00004856866,0.0001682587,0.0001120615,0.001109064,0.0001810434,0.000008608065,0.00003171387,0.01900259],"genre_scores_gemma":[0.9985864,0.00005885072,0.00008626355,0.0001852133,0.0004144898,0.0000152276,0.000002872697,0.00001274365,0.0006379822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4928964,"threshold_uncertainty_score":0.5117821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04582254647537717,"score_gpt":0.2409194147954973,"score_spread":0.1950968683201201,"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."}}