{"id":"W7124180099","doi":"10.65109/yyks9662","title":"An agent communication protocol for resolving conflicts","year":2010,"lang":"","type":"article","venue":"","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Protocol (science); Set (abstract data type); Persuasion; Communications protocol; Multi-agent system; Protocol analysis","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":[],"consensus_categories":[],"category_scores_codex":[0.001748424,0.0002571768,0.0002494497,0.0001172675,0.0007144623,0.0008774883,0.001624328,0.0002422344,0.000422256],"category_scores_gemma":[0.0001100762,0.0002358711,0.0001174812,0.0002058425,0.00007105318,0.001322364,0.0002319781,0.0003081485,0.00009212559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004538835,"about_ca_system_score_gemma":0.0001325841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003913896,"about_ca_topic_score_gemma":0.0006251842,"domain_scores_codex":[0.9975516,0.0002487056,0.0007594883,0.0006320176,0.0003773284,0.0004309002],"domain_scores_gemma":[0.9961995,0.0001761947,0.0005018624,0.002388566,0.0004625805,0.0002712976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002218336,0.002630121,0.003799751,0.001165192,0.00009906909,0.000003345244,0.02434899,0.0002964178,0.2732845,0.4455996,0.01878767,0.2297635],"study_design_scores_gemma":[0.001655192,0.0002698401,0.004372456,0.0000939879,0.000007044048,0.000004948427,0.00004832339,0.6965044,0.01174096,0.0002661193,0.2847296,0.0003071563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.002531816,0.00000642881,0.6604561,0.00107746,0.0008481566,0.3309508,0.00000540848,0.0001854799,0.003938393],"genre_scores_gemma":[0.4187413,0.000002055243,0.1179427,0.000468178,0.0004246756,0.4601038,0.00001613047,0.00003425454,0.00226687],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.6962079,"threshold_uncertainty_score":0.9618544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08202185963497628,"score_gpt":0.382995302655421,"score_spread":0.3009734430204448,"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."}}