{"id":"W2399951836","doi":"","title":"A General Framework for Computing Optimal Correlated Equilibria in Compact Games (Extended Abstract)","year":2011,"lang":"en","type":"article","venue":"","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Mathematical optimization; Theoretical computer science; Distributed computing; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001760226,0.0001476495,0.0002911578,0.0001701638,0.0001146916,0.0001183456,0.0006856101,0.0001310968,0.002207995],"category_scores_gemma":[0.0008967812,0.0001107122,0.000127075,0.0005545704,0.0001218092,0.0002029303,0.00007885127,0.0002214964,0.0004127565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001964666,"about_ca_system_score_gemma":0.00004488416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005916988,"about_ca_topic_score_gemma":0.00001420679,"domain_scores_codex":[0.9981408,0.00007560337,0.0006750695,0.0004353253,0.0003159571,0.0003572649],"domain_scores_gemma":[0.9971484,0.001895321,0.0002097993,0.0004981125,0.0001245918,0.0001237871],"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":[0.0003365023,0.0004600829,0.00734803,0.000004427747,0.00002960179,0.000007123522,0.004423905,0.002511818,0.002926481,0.9489011,0.004568224,0.02848276],"study_design_scores_gemma":[0.000615189,0.00009673421,0.1793581,0.00002828189,0.000009862796,0.00001031913,0.001265355,0.123624,0.00232966,0.6908427,0.001545775,0.0002740386],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8287672,0.00001961817,0.151638,0.0001883531,0.0001586317,0.0003196404,0.00001045606,0.00008080377,0.01881727],"genre_scores_gemma":[0.9218823,7.027521e-7,0.07658601,0.0001942708,0.00006238114,0.000009504992,0.000004891875,0.00001180783,0.001248092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2580584,"threshold_uncertainty_score":0.9987041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1847752365556128,"score_gpt":0.4151886618541514,"score_spread":0.2304134252985387,"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."}}