{"id":"W1598797156","doi":"","title":"Multiagent System Platform for Auction Simulations","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Common value auction; Computer science; Complement (music); Combinatorial auction; Multi-agent system; Distributed computing; Artificial intelligence; Microeconomics; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.009405532,0.0002447964,0.0004758349,0.001187148,0.0006086801,0.0003488113,0.001119023,0.0005109848,0.0002169057],"category_scores_gemma":[0.002369777,0.0002353394,0.0002913517,0.0003985156,0.0002749692,0.0002038177,0.0006663721,0.0009706793,0.0001022701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001305186,"about_ca_system_score_gemma":0.0003753916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002553858,"about_ca_topic_score_gemma":0.0001677677,"domain_scores_codex":[0.9959666,0.0002068984,0.001397467,0.001173102,0.0006486244,0.0006073758],"domain_scores_gemma":[0.9922993,0.004876273,0.0004794121,0.001555124,0.0005703908,0.0002195378],"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":[0.0001828162,0.0001670481,0.000605244,0.00008531818,0.00005849655,0.000002794415,0.0004680844,0.5296502,0.00008844743,0.03134871,0.0003897234,0.4369531],"study_design_scores_gemma":[0.0009993296,0.00008456316,0.002428427,0.0001584535,0.00001920502,0.00001574317,0.008263689,0.6011407,0.0007222095,0.104833,0.2806981,0.0006366263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7259622,0.0001731024,0.07150689,0.00121708,0.005191967,0.0102403,0.001676743,0.0004241427,0.1836075],"genre_scores_gemma":[0.9893603,0.0001470794,0.002508427,0.00003307405,0.000548346,0.00058202,0.0001149273,0.00004125893,0.006664573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4363165,"threshold_uncertainty_score":0.9596862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2075365457607463,"score_gpt":0.4632351017257335,"score_spread":0.2556985559649872,"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."}}