{"id":"W2021675407","doi":"10.1145/545056.545108","title":"Modeling and design monitor agent using layered control architecture","year":2002,"lang":"en","type":"article","venue":"","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Schedule; Layer (electronics); Distributed computing; sort; Software; Control system; Multi-agent system; Process (computing); Real-time computing; Engineering; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000724135,0.0005218138,0.0003862324,0.0004157858,0.0003712826,0.001598468,0.001257963,0.0007898908,0.001324248],"category_scores_gemma":[0.00121535,0.0003462828,0.0006167246,0.0002473265,0.0005814809,0.001071124,0.0006593607,0.0007435668,0.000390031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008640502,"about_ca_system_score_gemma":0.001190669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006054419,"about_ca_topic_score_gemma":0.002956465,"domain_scores_codex":[0.9993346,0.0001449841,0.00005649035,0.0001260492,0.0002676072,0.00007023596],"domain_scores_gemma":[0.9995486,0.0001035029,0.00009681434,0.00005624139,0.0001599841,0.00003476168],"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":[0.000168844,0.0001155065,0.002602306,0.0002800871,0.0001023263,0.0003738973,0.0005253855,0.7671389,0.03394055,0.1093833,0.001652426,0.08371647],"study_design_scores_gemma":[0.00002248628,0.0000704223,0.0001702366,0.00001257065,0.00002878517,0.00005271058,0.00001341247,0.9832001,0.004816001,0.00650607,0.005092914,0.00001432396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01007038,0.0001715913,0.9850693,0.0001113712,0.00002041744,0.0001065055,0.00003151985,0.001005227,0.00341366],"genre_scores_gemma":[0.5897428,0.0005671427,0.4012479,0.00008945186,0.00004384439,0.0006781074,0.0001587493,0.00009573272,0.007376173],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006054419,"threshold_uncertainty_score":0.01203841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04952122875343982,"score_gpt":0.2315393966347326,"score_spread":0.1820181678812927,"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."}}