{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001723463,0.0001463236,0.0001596298,0.00003822092,0.0001477186,0.0001307332,0.0004937161,0.00008502601,0.0001504992],"category_scores_gemma":[0.00002301345,0.0001288914,0.0001124181,0.0002088792,0.00002576524,0.000243909,0.00005384844,0.0001137244,0.00006999804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003158558,"about_ca_system_score_gemma":0.000008524492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000184205,"about_ca_topic_score_gemma":0.00002334586,"domain_scores_codex":[0.9988229,0.0000280926,0.0002198883,0.000367449,0.0001397934,0.0004218507],"domain_scores_gemma":[0.9991431,0.0003087499,0.00006297571,0.0003315855,0.00004126013,0.0001123303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002993677,0.00003812919,0.00002839924,0.000001728324,0.00001521468,0.000002618133,0.0001110163,0.06732362,0.000003594451,0.006308156,0.006209346,0.9199552],"study_design_scores_gemma":[0.0008291916,0.00004431929,0.0002092289,0.000008401538,0.000007778317,0.000004715273,0.000007457466,0.994364,0.000001113767,0.00003680031,0.004311836,0.0001751543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005302074,0.0004037306,0.9903148,0.001006803,0.0007563603,0.0002984156,7.948192e-7,0.0005237773,0.001393243],"genre_scores_gemma":[0.9514284,0.00002515355,0.04398347,0.0007726259,0.0001720708,0.00004511215,0.000002329521,0.00001222588,0.003558618],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9463313,"threshold_uncertainty_score":0.525604,"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."}}