{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04723687,0.001701851,0.003600442,0.002043002,0.00252593,0.007572205,0.005610866,0.005745647,0.004880313],"category_scores_gemma":[0.1124276,0.002331041,0.003419029,0.001954639,0.007686611,0.02563807,0.008471069,0.008162975,0.001619774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002787928,"about_ca_system_score_gemma":0.003169778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006185631,"about_ca_topic_score_gemma":0.0003817227,"domain_scores_codex":[0.9532955,0.02871794,0.002081183,0.003628491,0.009244733,0.003032],"domain_scores_gemma":[0.8011366,0.1223777,0.01680287,0.05126749,0.0057222,0.002693204],"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":[0.0007142075,0.0003144385,0.002534602,0.0005661448,0.0004701784,0.0004716141,0.0005618065,0.06191485,0.004181158,0.8703842,0.001872604,0.05601417],"study_design_scores_gemma":[0.000590776,0.0006765507,0.0008545928,0.0002297718,0.0003117499,0.001127778,0.0002398467,0.2176367,0.007772457,0.752538,0.01788346,0.000138275],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1239135,0.002175036,0.8472282,0.005474666,0.0002617303,0.0005254236,0.0001006174,0.0006546745,0.01966623],"genre_scores_gemma":[0.852009,0.001278042,0.1407891,0.0009725511,0.0002926942,0.0004476822,0.00005629834,0.0001197896,0.004034896],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04723687,"threshold_uncertainty_score":0.2498155,"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."}}