{"id":"W2024199921","doi":"10.1145/1082473.1082651","title":"A software tool for the development of MAS communication protocols based on conversations","year":2005,"lang":"en","type":"article","venue":"","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Computer science; Java; Communications protocol; Software; Software engineering; Software tool; Software development; Programming language; Operating system","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":[0.000410483,0.0000497434,0.00005806498,0.00003348478,0.0001690627,0.00003620494,0.0003904249,0.00002215069,0.00002673797],"category_scores_gemma":[0.00004732629,0.00003268454,0.00003014223,0.0000816082,0.00001015019,0.0001375347,0.00003521614,0.00002543585,0.00001718638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004247981,"about_ca_system_score_gemma":0.00009853309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006502055,"about_ca_topic_score_gemma":0.00005380053,"domain_scores_codex":[0.9994223,0.0000353313,0.00022676,0.00009834454,0.0001475745,0.00006969384],"domain_scores_gemma":[0.9989949,0.0003154779,0.0001119585,0.000469817,0.00009449036,0.00001334379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009192762,0.001114962,0.01064013,0.0003446832,0.00009980793,9.435697e-8,0.01776933,0.02718022,0.002310172,0.1686382,0.01563742,0.7561731],"study_design_scores_gemma":[0.0009665145,0.00005033004,0.01924299,0.00007722172,0.000003439637,1.785243e-7,0.00005070604,0.8876025,0.01743082,0.00008446674,0.07437664,0.0001141723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006621851,0.000002923428,0.989373,0.001600576,0.00002022293,0.008067629,0.000001428854,0.00004866304,0.0002233708],"genre_scores_gemma":[0.3989038,1.871241e-7,0.5926765,0.0002862027,0.00001231258,0.007836873,0.000005737321,0.000003051586,0.000275366],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8604223,"threshold_uncertainty_score":0.1332837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06101095288450262,"score_gpt":0.3142896208340308,"score_spread":0.2532786679495282,"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."}}