{"id":"W4382240743","doi":"10.1007/978-981-19-7826-5_6","title":"The Importance of Compensation from Different Aspects: A Study of Akamai Inc.","year":2023,"lang":"en","type":"book-chapter","venue":"Applied economics and policy studies","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Compensation (psychology); Incentive; Agency (philosophy); Shareholder; Executive compensation; Work (physics); Business; Pay for performance; Public relations; Plan (archaeology); Finance; Engineering; Economics; Psychology; Political science; Sociology; Social psychology; Corporate governance; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002923384,0.0003105821,0.001144949,0.0002265508,0.00019587,0.00003033422,0.0002414208,0.0001176754,0.000008507451],"category_scores_gemma":[0.00002545208,0.0002822595,0.0001017629,0.00004042837,0.0001971918,0.00003529193,0.0003278152,0.0001513836,0.00005012405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001063452,"about_ca_system_score_gemma":0.00001836828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007130849,"about_ca_topic_score_gemma":0.004437434,"domain_scores_codex":[0.9980788,0.000003808825,0.001224523,0.0004458355,0.00003500417,0.0002120068],"domain_scores_gemma":[0.9977772,0.0002274495,0.001455107,0.0004730485,0.00003633049,0.00003084671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003624239,0.00004042208,0.003363495,0.00004442511,0.0008506085,4.557938e-7,0.001945184,0.00003552927,3.020747e-7,0.9909768,0.000336516,0.002370066],"study_design_scores_gemma":[0.0007812212,0.0001639288,0.04645701,0.00003123629,0.00006022021,1.064271e-7,0.00165292,0.00004121236,0.000005549278,0.9185835,0.03188554,0.000337588],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6596925,0.007441739,0.000006668782,0.0006065937,0.0004954984,0.001297248,0.001234451,0.00002922174,0.3291961],"genre_scores_gemma":[0.9172395,0.07329734,0.00001126844,0.00011437,0.000285305,0.00007880967,0.00003536865,0.00005696453,0.008881032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.320315,"threshold_uncertainty_score":0.999963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05179388238633229,"score_gpt":0.2495175909090473,"score_spread":0.197723708522715,"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."}}