{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003036902,0.001593952,0.002234789,0.001765581,0.0009463414,0.003152657,0.003038205,0.001822544,0.008919426],"category_scores_gemma":[0.01214677,0.0008599869,0.002242177,0.003077002,0.003101813,0.004606888,0.003198632,0.003243761,0.0007383378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002532867,"about_ca_system_score_gemma":0.001714354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003928314,"about_ca_topic_score_gemma":0.003422393,"domain_scores_codex":[0.9982648,0.0005750273,0.00008666145,0.0004153973,0.000446946,0.0002111948],"domain_scores_gemma":[0.9973029,0.001538018,0.0003220702,0.0004318778,0.000255403,0.0001498027],"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":[0.00004785398,0.00007283797,0.0002362749,0.00009637589,0.00003448706,0.00005655395,0.0001035636,0.3474433,0.0009737863,0.6349534,0.001044899,0.01493664],"study_design_scores_gemma":[0.00003312174,0.00004295201,0.00007127227,0.00002637836,0.00001395962,0.00002861436,0.00002931079,0.6216953,0.0005561767,0.3761296,0.001357899,0.00001537419],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004983194,0.000092562,0.9928334,0.0001186723,0.00001185901,0.0000583069,0.0000506047,0.00008430728,0.00176702],"genre_scores_gemma":[0.2965073,0.0004234597,0.6980582,0.0001897776,0.0000649708,0.0005979671,0.0002989787,0.0001541453,0.003705196],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008919426,"threshold_uncertainty_score":0.02983844,"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."}}