{"id":"W175472853","doi":"","title":"Coalitional bargaining with agent type uncertainty","year":2007,"lang":"en","type":"article","venue":"International Joint Conference on Artificial Intelligence","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Negotiation; Heuristic; Mathematical economics; Bayesian probability; Computer science; Bayesian game; Mathematical optimization; Type (biology); Game theory; Rational agent; Bargaining problem; Economics; Artificial intelligence; Mathematics; Repeated game","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":["insufficient_payload"],"category_scores_codex":[0.001445508,0.0001898404,0.0002590093,0.0002715909,0.0001185663,0.0001495672,0.0003485866,0.00008370542,0.002692282],"category_scores_gemma":[0.0002965348,0.0001882689,0.00007623143,0.0002109715,0.0001462683,0.0001497047,0.00004535259,0.0002432636,0.003037014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001708753,"about_ca_system_score_gemma":0.00004635803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001864854,"about_ca_topic_score_gemma":0.0001132486,"domain_scores_codex":[0.9982097,0.00002544228,0.0008149109,0.0004630373,0.0001603401,0.0003265312],"domain_scores_gemma":[0.9988822,0.0001415641,0.0003561652,0.0002367229,0.0002643745,0.0001189781],"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":[0.0002151084,0.00010903,0.001041143,0.000004172495,0.00004895692,0.00002281055,0.0004052453,0.00126705,0.0004033322,0.9920643,0.00006037782,0.004358465],"study_design_scores_gemma":[0.0001507888,0.0005723448,0.00373505,0.0002626073,0.000006830157,0.00004733483,0.001831307,0.02937572,0.009320608,0.9442916,0.009701954,0.0007038332],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1933271,0.00005635213,0.4154736,0.002062029,0.003321398,0.0003515179,0.0001340658,0.0001676662,0.3851063],"genre_scores_gemma":[0.9972762,0.00001254888,0.0007438844,0.0004908104,0.0003409546,0.000009470256,0.00004029849,0.0000184636,0.001067376],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8039491,"threshold_uncertainty_score":0.9982194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1938340754753523,"score_gpt":0.3125534067218377,"score_spread":0.1187193312464854,"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."}}