{"id":"W2273933614","doi":"10.3982/te2762","title":"Collusion constrained equilibrium","year":2018,"lang":"en","type":"article","venue":"Theoretical Economics","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Einaudi Institute for Economics and Finance; Ministero dell’Istruzione, dell’Università e della Ricerca","keywords":"Collusion; Incentive compatibility; Mathematical economics; Set (abstract data type); Repeated game; Best response; Limit (mathematics); Group (periodic table); Incentive; Nash equilibrium; Computer science; Microeconomics; Game theory; Economics; Mathematical optimization; Mathematics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007745934,0.0002267711,0.0005233852,0.0001219827,0.0001344959,0.000108598,0.000403054,0.0001815929,0.009525474],"category_scores_gemma":[0.0001226342,0.000266762,0.0001616442,0.00008502523,0.001762162,0.0002298448,0.0002134328,0.0001427434,0.005001621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001355074,"about_ca_system_score_gemma":0.00004121675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001804485,"about_ca_topic_score_gemma":0.000004934454,"domain_scores_codex":[0.9980667,0.00001688132,0.0008069559,0.0005733829,0.00001294336,0.0005231754],"domain_scores_gemma":[0.9988155,0.0001117364,0.0002453198,0.0005695776,0.00003471002,0.0002231352],"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":[0.00009622144,0.00003742446,0.0002181185,0.000005392193,0.00003305983,9.756301e-7,0.0002083705,0.00001716784,0.00006348843,0.9983997,0.0004011552,0.0005189585],"study_design_scores_gemma":[0.000668894,0.0002378898,0.0001170332,0.000006196538,0.000005749865,0.00001259378,0.00006722291,0.01472539,0.0005898192,0.9529367,0.03027629,0.0003561864],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5917937,0.00009465176,0.00435213,0.001264812,0.0008761521,0.0001728906,0.0001878264,0.00008617648,0.4011716],"genre_scores_gemma":[0.9954582,0.00006445592,0.001620399,0.001188799,0.0006621004,0.00001338814,0.00001706095,0.00005026869,0.0009253336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4036644,"threshold_uncertainty_score":0.9999785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01758108992030836,"score_gpt":0.2087875936080023,"score_spread":0.1912065036876939,"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."}}