{"id":"W2135648181","doi":"10.1109/scac.1995.523652","title":"Dynamic routing for multimedia traffic over ATM networks","year":2002,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Computer network; Static routing; Policy-based routing; Dynamic Source Routing; Link-state routing protocol; Hierarchical routing; Distributed computing; Routing (electronic design automation); Multipath routing; Routing table; Testbed; Routing protocol; Destination-Sequenced Distance Vector routing","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":[0.0005156261,0.0003279405,0.0002603641,0.0004107111,0.0005362074,0.0007064783,0.0007343139,0.000403652,0.001615079],"category_scores_gemma":[0.001793074,0.0002198626,0.0002433804,0.0006617145,0.0004529016,0.0009074355,0.0004464386,0.0005372679,0.0001615895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008826972,"about_ca_system_score_gemma":0.0003968475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002813757,"about_ca_topic_score_gemma":0.003269793,"domain_scores_codex":[0.9996392,0.0001282161,0.00001922005,0.00003662619,0.0001418196,0.00003498357],"domain_scores_gemma":[0.9995702,0.0002284938,0.00005530235,0.00006817086,0.00005341966,0.00002444439],"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":[0.0001465102,0.00007319137,0.0008737571,0.0001171647,0.00003679584,0.0001338292,0.00007753453,0.8534821,0.02713303,0.0378882,0.002720231,0.07731774],"study_design_scores_gemma":[0.00003035288,0.00006993947,0.0003630413,0.00000998194,0.00001470388,0.00008693017,0.0000161456,0.9778923,0.003639632,0.01331804,0.004547426,0.00001145302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1465652,0.001637892,0.8370809,0.0007138131,0.0001598487,0.0002231487,0.0002101006,0.001633522,0.01177569],"genre_scores_gemma":[0.8139151,0.001127994,0.181569,0.000112275,0.00006704564,0.0001773588,0.0003088521,0.00008731966,0.002635082],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002813757,"threshold_uncertainty_score":0.006404459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01090486686164965,"score_gpt":0.2187202649031927,"score_spread":0.2078153980415431,"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."}}