{"id":"W3112533016","doi":"10.1145/3379478","title":"Third-Party Data Providers Ruin Simple Mechanisms","year":2020,"lang":"en","type":"article","venue":"Proceedings of the ACM on Measurement and Analysis of Computing Systems","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; United States-Israel Binational Science Foundation","keywords":"Revenue; Common value auction; Microeconomics; Logarithm; Computer science; Constant (computer programming); Fraction (chemistry); Third party; Order (exchange); Disjoint sets; Econometrics; Business; Economics; Mathematics; Finance; Internet privacy","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":[0.006387318,0.0001356597,0.0005486668,0.0001975322,0.0002434664,0.0001777327,0.003255438,0.00004315023,0.000009118656],"category_scores_gemma":[0.00627237,0.00008289686,0.0001792022,0.001938964,0.00009298674,0.000200259,0.001035307,0.000108104,0.000004984696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001654834,"about_ca_system_score_gemma":0.00002631014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000202457,"about_ca_topic_score_gemma":0.000001882227,"domain_scores_codex":[0.996517,0.00006327694,0.0008857932,0.0005250316,0.001865031,0.0001438704],"domain_scores_gemma":[0.9966499,0.0002853487,0.001222544,0.0009088162,0.0008448249,0.00008861902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003652344,0.0006093828,0.1232152,0.0006956414,0.006778783,3.532496e-7,0.01068766,0.02862992,0.3942645,0.3104504,0.1102006,0.01410229],"study_design_scores_gemma":[0.001217699,0.0003829586,0.02041261,0.0003985055,0.004160007,0.000003084062,0.02552821,0.7785568,0.06019483,0.09883445,0.009526546,0.0007843082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9590183,0.000245086,0.02623588,0.01156914,0.0001857414,0.0008242368,0.00006669452,0.00009071548,0.00176419],"genre_scores_gemma":[0.999069,0.000002723714,0.0006575408,0.0001653605,0.00005601778,0.00000333891,0.000002888303,0.000006193033,0.00003695962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7499269,"threshold_uncertainty_score":0.7509065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.247893004297847,"score_gpt":0.3564475979438947,"score_spread":0.1085545936460477,"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."}}