{"id":"W2046908253","doi":"10.1142/s0219265906001685","title":"AN ANALYTICAL APPROACH TO RELIABILITY ESTIMATION OF MOBILE AGENT-BASED SYSTEMS","year":2006,"lang":"en","type":"article","venue":"Journal of Interconnection Networks","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Reliability (semiconductor); Asynchronous communication; Distributed computing; Node (physics); Throughput; Component (thermodynamics); Petri net; Mobile agent; Multi-agent system; Real-time computing; Computer network; Wireless; Artificial intelligence","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":[0.001967078,0.0001894718,0.0004206599,0.0003996712,0.00007158523,0.0001874753,0.0007801258,0.0001071214,0.00001228526],"category_scores_gemma":[0.00005459591,0.0001656929,0.0002123672,0.0008211382,0.00004084532,0.0006119447,0.00007908802,0.000272336,0.000004473654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003709326,"about_ca_system_score_gemma":0.00007002874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001030345,"about_ca_topic_score_gemma":0.000006382261,"domain_scores_codex":[0.9972658,0.0003583877,0.001225993,0.0003481944,0.0005203632,0.0002812321],"domain_scores_gemma":[0.9977528,0.0001783707,0.0007543921,0.0006792767,0.0004517064,0.0001834905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006097752,0.0004513293,0.0003176319,0.00004024485,0.00002696174,0.000006170098,0.00003931403,0.9814753,0.00004437474,0.003906938,0.004433127,0.009197651],"study_design_scores_gemma":[0.0004171723,0.0008892729,0.0008843165,0.000110146,0.00003668864,0.00002941338,0.00006613301,0.9962233,0.0002023905,0.0001609027,0.0008327141,0.000147548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08976848,0.0001038463,0.9077974,0.00007782389,0.001230921,0.0004154465,8.037598e-7,0.00005351487,0.0005517513],"genre_scores_gemma":[0.9606499,0.00000386585,0.03870936,0.0001277632,0.0004202724,0.00003570571,0.000005383775,0.00001390588,0.00003386563],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8708814,"threshold_uncertainty_score":0.6756762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01200447530507184,"score_gpt":0.2548075220576361,"score_spread":0.2428030467525643,"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."}}