{"id":"W2161370525","doi":"","title":"Computing reserve prices and identifying the value distribution in real-world auctions with market disruptions","year":2008,"lang":"en","type":"article","venue":"","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Common value auction; Bidding; Value (mathematics); Distribution (mathematics); Independent and identically distributed random variables; Reservation price; Mathematical economics; Profit (economics); Computer science; Microeconomics; Economics; Econometrics; Mathematical optimization; Mathematics; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001945806,0.00009271285,0.0001272306,0.000147084,0.001398441,0.0001732177,0.0003032958,0.0000288585,0.0002482444],"category_scores_gemma":[0.0003145781,0.00005257969,0.00003702889,0.001882227,0.000375088,0.0004207064,0.000121551,0.0001667372,0.00003970732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004076866,"about_ca_system_score_gemma":0.00003744333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005892898,"about_ca_topic_score_gemma":0.002249451,"domain_scores_codex":[0.9984006,0.000230509,0.0004049892,0.000343259,0.0004436123,0.0001770067],"domain_scores_gemma":[0.9978784,0.001347925,0.0001675126,0.0004152723,0.0001272931,0.00006359715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00006790051,0.0001734139,0.2232043,0.000005825596,0.00002511103,0.000008321125,0.002539039,0.003832276,0.00009813211,0.7479365,0.01731908,0.004790113],"study_design_scores_gemma":[0.000238481,0.00001861669,0.9153888,0.00002055333,0.00001144174,0.00008923745,0.004285567,0.01376262,0.00008237001,0.05129996,0.01466286,0.0001394569],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7604643,0.00004129729,0.210673,0.004553093,0.00008889403,0.0003338775,0.00002611838,0.0000850909,0.02373433],"genre_scores_gemma":[0.9896571,0.00005088363,0.001213963,0.00005330674,0.00005798093,0.00002673083,0.00001024875,0.000004994771,0.008924813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6966366,"threshold_uncertainty_score":0.9999016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1337996547125825,"score_gpt":0.4059684645294987,"score_spread":0.2721688098169163,"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."}}