{"id":"W3125406397","doi":"","title":"Mechanism Design with Collusive Supervision","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Supervisor; Collusion; Principal (computer security); Adverse selection; Stochastic game; Microeconomics; Principal–agent problem; Welfare; Economics; Mechanism design; Rent-seeking; Information asymmetry; Business; Industrial organization; Computer science; Computer security; Finance; Market economy; Political science; Corporate governance; Management","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":[0.01205633,0.001451219,0.00194791,0.001110789,0.001170193,0.003253258,0.003558671,0.003663703,0.0090582],"category_scores_gemma":[0.02330338,0.0009414627,0.001686769,0.001270808,0.003354411,0.004102077,0.003471634,0.002795498,0.001097145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002272793,"about_ca_system_score_gemma":0.002466218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008729047,"about_ca_topic_score_gemma":0.0004311105,"domain_scores_codex":[0.989502,0.006580145,0.0004238176,0.001314056,0.001324291,0.0008556168],"domain_scores_gemma":[0.9726303,0.01730584,0.004508925,0.003060328,0.001380543,0.001114078],"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":[0.0003867193,0.0002316675,0.001279002,0.0003683945,0.0002113307,0.0005180592,0.0004554975,0.1421299,0.001660502,0.8297771,0.001940862,0.02104092],"study_design_scores_gemma":[0.0005929987,0.0003250651,0.0003325828,0.00006407184,0.0001003916,0.0002832859,0.00008302471,0.3954965,0.0006994239,0.5973429,0.004629351,0.00005030961],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05766619,0.001147854,0.9143918,0.002618877,0.000192097,0.0005634212,0.0001931323,0.0002500865,0.02297653],"genre_scores_gemma":[0.8847067,0.0009765106,0.1008464,0.0004634337,0.000250914,0.001149729,0.0000971597,0.00004315043,0.01146582],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01205633,"threshold_uncertainty_score":0.06376076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0849612216292014,"score_gpt":0.3720818672712673,"score_spread":0.2871206456420659,"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."}}