{"id":"W2120131348","doi":"10.1109/icsmc.2000.884477","title":"Incorporating communication monitoring and control facility in multi-agent systems","year":2002,"lang":"en","type":"article","venue":"","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computer science; Conversation; Petri net; Task (project management); Deadlock; Multi-agent system; Distributed computing; Process (computing); Negotiation; Control (management); Human–computer interaction; Artificial intelligence; Systems engineering; Engineering","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":[0.0006137333,0.00009643748,0.0001297118,0.0000711997,0.00009209792,0.0001772781,0.0004419528,0.00002964026,0.000007092491],"category_scores_gemma":[0.00001872103,0.00009173964,0.0000160407,0.0002064269,0.00002307273,0.0003117033,0.0002702305,0.0001012355,0.0000297065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001175805,"about_ca_system_score_gemma":0.00000429741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003663536,"about_ca_topic_score_gemma":0.00003759964,"domain_scores_codex":[0.9989085,0.0002094781,0.0002837265,0.0002635755,0.0001599314,0.0001748572],"domain_scores_gemma":[0.9990614,0.0001049576,0.00009306471,0.000653972,0.00002881826,0.00005776378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000916627,0.0005811502,0.5690309,0.0002580633,0.00007711325,0.00006474696,0.002714087,0.1420808,0.001082328,0.02520296,0.0009459153,0.2579527],"study_design_scores_gemma":[0.0006444316,0.00001696041,0.01239834,0.00003314872,0.000002097523,0.000001160567,0.00009839147,0.9862425,0.00006362952,0.00002846476,0.0003673092,0.0001035382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07643903,0.00162599,0.9195238,0.0003302795,0.0002281737,0.0007355261,0.000001185432,0.0001750034,0.0009409677],"genre_scores_gemma":[0.9848358,0.00006576478,0.01478857,0.00004596663,0.0000119438,0.0000914272,7.173932e-7,0.000002795237,0.0001570213],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9083968,"threshold_uncertainty_score":0.3741034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05058255028973998,"score_gpt":0.2463156365621509,"score_spread":0.1957330862724109,"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."}}