{"id":"W3006156532","doi":"","title":"Optimal Audit Policies with Correlated Types","year":2000,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université de Montréal; Center for Interuniversity Research and Analysis on Organizations; HEC Montréal","funders":"","keywords":"Townsend; Audit; Adverse selection; Computer science; Scheme (mathematics); Dilemma; Mathematical optimization; Microeconomics; Mathematical economics; Economics; Econometrics; Mathematics; Accounting","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":[0.006350752,0.0008010067,0.001928427,0.0009422295,0.0006722808,0.003139785,0.002015562,0.002295546,0.002632514],"category_scores_gemma":[0.02196987,0.001144508,0.0007946876,0.001269531,0.001691848,0.00392988,0.0020539,0.001955373,0.00046097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002651584,"about_ca_system_score_gemma":0.002605272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002765928,"about_ca_topic_score_gemma":0.001763813,"domain_scores_codex":[0.9955553,0.002291911,0.0002512372,0.0006078244,0.0005681411,0.0007255783],"domain_scores_gemma":[0.9828054,0.009198404,0.003976984,0.001856645,0.001052977,0.001109501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004809583,0.0001739057,0.001838333,0.00009553225,0.00007089557,0.0001896303,0.000155184,0.8222824,0.0008056957,0.1538246,0.00139912,0.01868362],"study_design_scores_gemma":[0.0001364851,0.00007963029,0.0005184967,0.00002135257,0.00002145255,0.00005701861,0.00005357839,0.8920085,0.0003648206,0.1058031,0.0009088538,0.00002663981],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.437226,0.001271045,0.5404139,0.002769241,0.0001540988,0.0003390211,0.0004217735,0.0003272621,0.01707772],"genre_scores_gemma":[0.960971,0.0003845731,0.03354345,0.0001123812,0.00003480897,0.0001119486,0.00006599386,0.00002460119,0.004751288],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006350752,"threshold_uncertainty_score":0.03358638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07257180058840716,"score_gpt":0.3924769731863418,"score_spread":0.3199051725979347,"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."}}