{"id":"W4406992228","doi":"10.2139/ssrn.5117507","title":"RELATIONSHIP BETWEEN EXECUTIVE COMPENSATION, ECONOMIC VALUE ADDED, AND ACCOUNTING PERFORMANCE MEASURES: EVIDENCE FROM CANADIAN LISTED COMPANIES","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Accounting; Executive compensation; Business; Compensation (psychology); Value (mathematics); Executive summary; Economic Value Added; Economics; Finance; Statistics; Corporate governance; Psychology; Mathematics; Incentive; Microeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002046639,0.0003953041,0.0004145241,0.004369523,0.003027979,0.002247198,0.001490413,0.000679713,0.004016808],"category_scores_gemma":[0.01256825,0.0002783782,0.0004193909,0.01317552,0.001293722,0.0006805067,0.0007933995,0.0008689674,0.000268902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03178084,"about_ca_system_score_gemma":0.03394252,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9944459,"about_ca_topic_score_gemma":0.997786,"domain_scores_codex":[0.9984955,0.000134403,0.0001098592,0.0001673235,0.0007708797,0.0003220635],"domain_scores_gemma":[0.9805947,0.004554227,0.004258316,0.0004241312,0.008748346,0.001420264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001433493,0.00006248191,0.9894145,0.00008520682,0.000100416,0.0001019231,0.001175566,0.0001677314,0.00009603396,0.0003997044,0.00120709,0.007046044],"study_design_scores_gemma":[0.000006792843,0.00001101461,0.9979613,0.00003082536,0.00004108499,0.00001757583,0.0008745376,0.00008651851,0.00004196297,0.00002567749,0.0008931685,0.000009535219],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870731,0.002802799,0.00005633818,0.0006847682,0.000009605723,0.00002133197,0.003053022,0.000006542643,0.006292377],"genre_scores_gemma":[0.9938606,0.001626802,0.0001302202,0.0001325723,0.000008917045,0.000009311604,0.002329132,0.0000038438,0.001898555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03178084,"threshold_uncertainty_score":0.2305872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05485664582295974,"score_gpt":0.2973025037274862,"score_spread":0.2424458579045265,"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."}}