{"id":"W1578281603","doi":"","title":"Multiagent System Simulations of Sealed-Bid Auctions with Two-Dimensional Value Signals","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Common value auction; Revenue; Value (mathematics); Microeconomics; Vickrey auction; Monotonic function; Profit (economics); Revenue equivalence; English auction; Economics; Auction theory; Econometrics; Computer science; Mathematics; Statistics; Finance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002168612,0.0005365454,0.001053424,0.0005290247,0.000609008,0.001744724,0.001164847,0.001446366,0.004202317],"category_scores_gemma":[0.0114597,0.0004174127,0.0007165431,0.000570899,0.0009029972,0.001816313,0.001301344,0.001638633,0.0003314435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001171917,"about_ca_system_score_gemma":0.0008627936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006131986,"about_ca_topic_score_gemma":0.003852367,"domain_scores_codex":[0.999149,0.0004528083,0.00005355923,0.0001126091,0.0001061529,0.0001258559],"domain_scores_gemma":[0.9882135,0.008810722,0.001052862,0.0005795677,0.0007400454,0.0006033633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003016184,0.0001839855,0.002985062,0.00005162459,0.00005495504,0.0001121026,0.0001498081,0.9751662,0.0007424578,0.01839079,0.0005003501,0.001361003],"study_design_scores_gemma":[0.00006789733,0.0000771398,0.0004257484,0.000006378349,0.000007643383,0.000008594719,0.00005139913,0.9938122,0.0002062534,0.005149112,0.0001769676,0.00001073444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9571723,0.0001960412,0.03172598,0.0005957599,0.00007324035,0.0001140829,0.0004334777,0.00009726404,0.009591773],"genre_scores_gemma":[0.9941404,0.00004871508,0.004605072,0.00004179768,0.000006171329,0.00007452216,0.0001175995,0.00001001293,0.000955704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006131986,"threshold_uncertainty_score":0.01405811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1141075991910783,"score_gpt":0.4303109055604683,"score_spread":0.31620330636939,"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."}}