{"id":"W4213088823","doi":"10.1145/3410048.3410108","title":"Third-Party Data Providers Ruin Simple Mechanisms","year":2020,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Defense Advanced Research Projects Agency; Israel National Cyber Directorate; Hebrew University of Jerusalem; California Institute of Technology; Israel Science Foundation; Fonds de recherche du Québec – Nature et technologies; Alfred P. Sloan Foundation; National Science Foundation","keywords":"Revenue; Common value auction; Logarithm; Fraction (chemistry); Microeconomics; Computer science; Constant (computer programming); Disjoint sets; Order (exchange); Econometrics; Business; Economics; Mathematics; Finance","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":[0.04789872,0.001375503,0.002632789,0.002290429,0.002144386,0.007884077,0.005252046,0.005351288,0.004173019],"category_scores_gemma":[0.08608608,0.001934465,0.00317722,0.002031399,0.006534251,0.02372204,0.006161433,0.007225126,0.001816829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002914667,"about_ca_system_score_gemma":0.003242613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006364562,"about_ca_topic_score_gemma":0.0003700831,"domain_scores_codex":[0.9576701,0.02420111,0.002104542,0.002933218,0.01060129,0.0024897],"domain_scores_gemma":[0.8501176,0.09054891,0.01273123,0.0381835,0.006503287,0.00191538],"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":[0.0005248743,0.0002887322,0.002229285,0.0008622854,0.000502742,0.0003659146,0.000468291,0.04243228,0.003566824,0.8436585,0.002758516,0.1023418],"study_design_scores_gemma":[0.0006433781,0.0008585601,0.001079083,0.0004492863,0.0004531272,0.001625576,0.0002599387,0.1270033,0.009481139,0.8135615,0.04441236,0.0001727471],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1050987,0.007205302,0.8482686,0.009485513,0.0004321083,0.0006289849,0.0001206404,0.0007649955,0.02799518],"genre_scores_gemma":[0.7883766,0.004254254,0.1978669,0.001837461,0.0005519942,0.0005225581,0.00008504163,0.0001476649,0.006357691],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04789872,"threshold_uncertainty_score":0.2533157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5025271705479473,"score_gpt":0.4828582510755413,"score_spread":0.01966891947240601,"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."}}