{"id":"W2074949033","doi":"10.2308/jmar.2008.20.s-1.79","title":"An Empirical Analysis of the Incentive-Action-Performance Chain of the Principal-Agent Model","year":2008,"lang":"en","type":"article","venue":"Journal of Management Accounting Research","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Toronto","funders":"","keywords":"Incentive; Endogeneity; Context (archaeology); Principal (computer security); Principal–agent problem; Product (mathematics); Empirical evidence; Industrial organization; Business; Microeconomics; Economics; Econometrics; Computer science; Mathematics","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":[0.02331107,0.0001270027,0.0004925014,0.002122317,0.0007025067,0.0001295661,0.003571515,0.00005871851,0.0000881266],"category_scores_gemma":[0.001831486,0.00006405484,0.0006084268,0.01068725,0.0005922038,0.0005794768,0.0008418072,0.000605525,0.000007290384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001779013,"about_ca_system_score_gemma":0.0002164351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003449238,"about_ca_topic_score_gemma":0.00004431633,"domain_scores_codex":[0.9890953,0.0009411593,0.001540162,0.0003201535,0.007724988,0.0003782786],"domain_scores_gemma":[0.9939225,0.0007224595,0.001606884,0.001303491,0.002376194,0.00006843848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005659947,0.0003080374,0.5804792,0.00001847033,0.0004199459,0.000004149892,0.0009171632,0.412876,0.0006152666,0.0001247195,0.001057492,0.003122977],"study_design_scores_gemma":[0.0001467407,0.00003960451,0.5261443,0.00004079427,0.0001973227,0.000002226466,0.0007340378,0.4711267,0.0007156864,0.0002430698,0.0005588402,0.00005064392],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939259,0.00005563288,0.00337713,0.0008585618,0.0001654791,0.0001745397,0.000002263055,0.000003496363,0.001437042],"genre_scores_gemma":[0.9979784,0.0001065401,0.0006232,0.00007261698,0.00005322987,0.000002192555,2.35532e-7,0.000008392396,0.001155162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05825074,"threshold_uncertainty_score":0.8079199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3112884856857268,"score_gpt":0.4968024828087188,"score_spread":0.185513997122992,"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."}}