{"id":"W4238906210","doi":"10.1109/cdc.1989.70237","title":"A decentralized control strategy for dynamic routing","year":2003,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Controller (irrigation); Queue; Computer science; Routing (electronic design automation); Clearance; Distributed computing; Control (management); Information flow; Control theory (sociology); Computer network; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003272306,0.0004953152,0.0003939536,0.0003004284,0.0004245322,0.0006724743,0.0008253456,0.000606037,0.003027062],"category_scores_gemma":[0.0006700394,0.0001688125,0.0003005768,0.0002316348,0.0005076095,0.0006172868,0.0006933117,0.0006147695,0.0004167412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006061875,"about_ca_system_score_gemma":0.0007214645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001599531,"about_ca_topic_score_gemma":0.001804165,"domain_scores_codex":[0.9996912,0.00006421471,0.00001076179,0.00007119209,0.0001295089,0.00003315837],"domain_scores_gemma":[0.9997905,0.00006349953,0.0000273995,0.00003167064,0.00006525619,0.00002164777],"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":[0.00009987453,0.0001402513,0.0003404089,0.0001368528,0.00004711763,0.0002801777,0.0001488606,0.5749014,0.02879314,0.2242138,0.007154831,0.1637434],"study_design_scores_gemma":[0.00003525039,0.00007712989,0.00009106315,0.000007781653,0.00001053078,0.00007245041,0.0000128897,0.9657131,0.001704766,0.02410523,0.008158397,0.00001140112],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006464091,0.0001247721,0.9823868,0.0001739655,0.00007961947,0.00004817706,0.00002490504,0.0004707615,0.01022691],"genre_scores_gemma":[0.8439795,0.0002984762,0.1418602,0.0002104997,0.0001347058,0.0003881633,0.000102637,0.00007667506,0.01294924],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003027062,"threshold_uncertainty_score":0.01012647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01331685019633176,"score_gpt":0.2522219124771032,"score_spread":0.2389050622807714,"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."}}