{"id":"W2225794812","doi":"10.1609/aaai.v25i1.7865","title":"Efficiency and Privacy Tradeoffs in Mechanism Design","year":2011,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Common value auction; Private information retrieval; Variety (cybernetics); Mechanism design; Dimension (graph theory); Mechanism (biology); Key (lock); Information privacy; Outcome (game theory); Differential privacy; Computer security; Data mining; Artificial intelligence; Microeconomics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.002502549,0.0001476043,0.0002163849,0.0002087529,0.0001785746,0.000109816,0.001345346,0.00007830571,0.0002922598],"category_scores_gemma":[0.002383109,0.00009772028,0.00006256032,0.0009759709,0.0004245247,0.000300816,0.0001873565,0.0002094797,0.0001373954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000175335,"about_ca_system_score_gemma":0.00005117656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002369037,"about_ca_topic_score_gemma":0.000003013906,"domain_scores_codex":[0.9979937,0.00005286475,0.0006985266,0.0004656526,0.0005648657,0.0002243948],"domain_scores_gemma":[0.99848,0.0003825973,0.0003630976,0.0002606678,0.000436734,0.0000769431],"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":[0.00008434179,0.0001477205,0.00007067755,0.00000241254,0.000002292807,1.79366e-7,0.00449096,0.00001136046,0.01423377,0.9467888,0.00003019315,0.03413731],"study_design_scores_gemma":[0.00001493635,0.00009091041,0.0002195093,0.00002754284,0.000004264125,0.000003703065,0.003205253,0.004523417,0.3148779,0.6768993,0.00005078121,0.00008248941],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5909976,0.00004453439,0.3455611,0.005122957,0.0004566552,0.001497809,0.000008614946,0.00009367322,0.05621707],"genre_scores_gemma":[0.9965972,0.0000216543,0.002916746,0.0001428597,0.00001945565,0.00003366772,4.977707e-8,0.000007055424,0.0002613495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4055996,"threshold_uncertainty_score":0.3984917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3936472202184486,"score_gpt":0.3766836790165272,"score_spread":0.01696354120192145,"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."}}