{"id":"W2981095392","doi":"10.1016/j.jmateco.2019.10.001","title":"Bidding collusion without passive updating","year":2019,"lang":"en","type":"article","venue":"Journal of Mathematical Economics","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Collusion; Bidding; Microeconomics; Mathematical economics; Bayesian game; Path (computing); Class (philosophy); Mechanism design; Complete information; Private information retrieval; Economics; Computer science; Game theory; Repeated game; Artificial intelligence; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002397961,0.00007507928,0.0003340403,0.0001362106,0.00008651517,0.0001367698,0.0004270284,0.00005281642,0.002570513],"category_scores_gemma":[0.001290284,0.00005143676,0.0001482977,0.0001406011,0.00004750904,0.0003814033,0.00008144455,0.0001590854,0.00175341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005384454,"about_ca_system_score_gemma":0.00006549216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.010614e-7,"about_ca_topic_score_gemma":2.2051e-7,"domain_scores_codex":[0.9984578,0.00005285803,0.001020183,0.0001283336,0.0002309583,0.0001098225],"domain_scores_gemma":[0.9970382,0.001324161,0.001079551,0.0002603244,0.0001913261,0.0001064724],"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":[0.00006807848,0.0001498877,0.001664453,0.00001450298,0.00004796057,0.000002147574,0.0007472046,0.004675841,0.001568501,0.9623949,0.001882592,0.02678394],"study_design_scores_gemma":[0.0003766369,0.00006924152,0.000305085,0.00004222832,0.00001490562,0.0001504113,0.002826529,0.01661732,0.001120017,0.9690502,0.00932616,0.0001013133],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9402622,0.000006454447,0.03928349,0.001127645,0.0002458553,0.00009772961,0.000002596455,0.000006120654,0.01896789],"genre_scores_gemma":[0.9875573,0.000007631191,0.01066952,0.0001777614,0.0001456061,0.000001334826,1.844118e-7,0.000008221201,0.001432447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04729507,"threshold_uncertainty_score":0.9990239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05688723105829518,"score_gpt":0.3543620036625234,"score_spread":0.2974747726042282,"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."}}