{"id":"W2169382366","doi":"10.1016/j.geb.2005.05.005","title":"Mechanism design with weaker incentive compatibility constraints","year":2005,"lang":"en","type":"article","venue":"Games and Economic Behavior","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Incentive compatibility; Adverse selection; Compatibility (geochemistry); Mechanism design; Incentive; Mechanism (biology); Mathematical optimization; Computer science; Mathematical economics; Participation constraint; Economics; Microeconomics; Mathematics; 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":[0.02731077,0.002176816,0.004408351,0.001762643,0.0013404,0.005908542,0.006114433,0.007046398,0.01433942],"category_scores_gemma":[0.06999164,0.002143966,0.002395032,0.002153811,0.004325039,0.01869044,0.005057876,0.008789222,0.001876732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001602639,"about_ca_system_score_gemma":0.002780507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002955494,"about_ca_topic_score_gemma":0.0002339296,"domain_scores_codex":[0.9787128,0.01432221,0.001232103,0.002469789,0.002316482,0.0009466244],"domain_scores_gemma":[0.9268044,0.05141487,0.004751636,0.01163386,0.003649534,0.001745701],"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":[0.0004288119,0.0003482848,0.0002885763,0.0005551192,0.000108636,0.00009484679,0.0001534818,0.01807505,0.001615108,0.9577593,0.002494847,0.01807793],"study_design_scores_gemma":[0.0005696878,0.0002356073,0.000151947,0.00006358209,0.00008458154,0.0001653678,0.00002980061,0.09272816,0.0007304111,0.9018398,0.003361907,0.00003907985],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0353364,0.0006512294,0.9351105,0.003589115,0.0004183416,0.0003794795,0.0002503265,0.0001992064,0.02406535],"genre_scores_gemma":[0.697044,0.0008193743,0.2784381,0.002174553,0.001169886,0.001708866,0.0003461147,0.0001555142,0.0181435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02731077,"threshold_uncertainty_score":0.1444349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09139925314207033,"score_gpt":0.3395735420950307,"score_spread":0.2481742889529603,"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."}}