{"id":"W3123717385","doi":"","title":"Collusion Constrained Equilibrium","year":2016,"lang":"en","type":"preprint","venue":"Dipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona)","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":0,"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; European Commission; National Science Foundation","keywords":"Collusion; Mathematical economics; Incentive compatibility; Set (abstract data type); Repeated game; Group (periodic table); Microeconomics; Incentive; Limit (mathematics); Best response; Equilibrium selection; Economics; Nash equilibrium; Game theory; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002416199,0.0008791328,0.001035536,0.0009092648,0.001419786,0.002004393,0.001511549,0.001525717,0.005872338],"category_scores_gemma":[0.01208635,0.0003998896,0.0009246508,0.001047926,0.003374662,0.00293105,0.003554936,0.001830925,0.0006410641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001714445,"about_ca_system_score_gemma":0.001120676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001360098,"about_ca_topic_score_gemma":0.0008659785,"domain_scores_codex":[0.9959016,0.001934449,0.0001536152,0.0006410519,0.0008326327,0.0005366323],"domain_scores_gemma":[0.9932263,0.003607272,0.001272584,0.0008307165,0.0006198104,0.0004432649],"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":[0.00003640105,0.00004453078,0.0008355611,0.00005231553,0.00005489344,0.0001680585,0.0003392671,0.03735366,0.001441791,0.9537446,0.0006912958,0.005237597],"study_design_scores_gemma":[0.00003416119,0.00006293711,0.0003141112,0.00002573549,0.00001380713,0.00009006517,0.0001343509,0.1252025,0.0006283318,0.8708472,0.002626689,0.00002010244],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2393486,0.0003647128,0.6845639,0.001850895,0.00006286477,0.0003039813,0.00020728,0.0001142243,0.07318365],"genre_scores_gemma":[0.9630991,0.0001832431,0.03076188,0.0002802715,0.00003454765,0.0002773316,0.00007796713,0.00003142364,0.005254128],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005872338,"threshold_uncertainty_score":0.01964492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01164649837200373,"score_gpt":0.2205930267675896,"score_spread":0.2089465283955858,"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."}}