{"id":"W2355933930","doi":"","title":"On a Modei of Combinational Compensation Contract Under Asymmetric Information","year":2003,"lang":"en","type":"article","venue":"","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Incentive; Compensation (psychology); Cash; Business; Stock options; Stock (firearms); China; Actuarial science; Industrial organization; Microeconomics; Finance; Economics; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004592898,0.000393149,0.0005054947,0.001012859,0.001017615,0.002042684,0.000921496,0.001234365,0.007967684],"category_scores_gemma":[0.007805279,0.0003016171,0.0006279363,0.00081878,0.00189175,0.004072903,0.001453326,0.001558921,0.0005549306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001592228,"about_ca_system_score_gemma":0.001381806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008650565,"about_ca_topic_score_gemma":0.0005606362,"domain_scores_codex":[0.997163,0.001160938,0.0001669956,0.0004368253,0.000795406,0.0002768082],"domain_scores_gemma":[0.9965587,0.001230332,0.0005958673,0.0006088922,0.0006357355,0.0003704185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008770848,0.00004740678,0.003111474,0.00005197175,0.00001822431,0.000210198,0.0003631824,0.009872203,0.002172785,0.9550459,0.001606385,0.02741263],"study_design_scores_gemma":[0.0001067345,0.0002283891,0.004105171,0.00005795806,0.00002776541,0.00103776,0.0003362657,0.3081377,0.001966414,0.6704027,0.01350968,0.00008354968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3340528,0.0005427285,0.5558654,0.002324123,0.000136432,0.0004191906,0.0003531305,0.0001822007,0.1061241],"genre_scores_gemma":[0.9434365,0.0003000339,0.04307564,0.0001230226,0.0001065582,0.0002271949,0.00009244089,0.00002715866,0.01261154],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007967684,"threshold_uncertainty_score":0.02665454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01572788936792355,"score_gpt":0.2015048833146521,"score_spread":0.1857769939467285,"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."}}