{"id":"W1600776493","doi":"","title":"CEO Compensation System in Large Canadian Financial Institutions","year":2013,"lang":"en","type":"article","venue":"OAR@UM (University of Malta)","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Salary; Executive compensation; Business; Compensation (psychology); Cash; Positive correlation; Positive relationship; Monetary economics; Negative correlation; Accounting; Finance; Economics; Corporate governance; Market economy; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001007702,0.00007511248,0.000132091,0.0002267848,0.0002172677,0.00002816155,0.0001824621,0.00006096935,0.0002893015],"category_scores_gemma":[0.00001582454,0.00009892244,0.00003831354,0.0004584259,0.00004005956,0.001071774,0.00005221719,0.00008113238,0.0008099502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001297057,"about_ca_system_score_gemma":0.0001545723,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4622326,"about_ca_topic_score_gemma":0.5991696,"domain_scores_codex":[0.9994462,0.000004868611,0.00008637478,0.000143121,0.0001075101,0.0002118971],"domain_scores_gemma":[0.9995936,0.000005147699,0.0001418779,0.0001289619,0.0001128773,0.00001752307],"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":[0.00003376981,0.0001107849,0.4525187,0.0003805131,0.00001087653,0.0001313666,0.0002495042,0.0004417466,0.000157535,0.5099577,0.03146132,0.004546192],"study_design_scores_gemma":[0.0004903486,0.000003711006,0.8006566,0.0000750051,0.000008586773,5.484318e-7,0.0005122593,0.002617402,9.485244e-7,0.00009530527,0.1954384,0.0001008945],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9643571,0.00001234006,0.0004720092,0.001261351,0.0001934238,0.000202252,0.00002444368,0.00002969844,0.03344732],"genre_scores_gemma":[0.9988454,0.000004099724,0.00009816692,0.0002484981,0.00009205801,6.386562e-7,0.00002723321,0.000004222449,0.000679657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5098624,"threshold_uncertainty_score":0.9999681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01470223335736682,"score_gpt":0.1624040572290829,"score_spread":0.147701823871716,"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."}}