{"id":"W2046472986","doi":"10.1002/dac.623","title":"On the effectiveness of alternative paths in QoS routing","year":2004,"lang":"en","type":"article","venue":"International Journal of Communication Systems","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Computer network; Equal-cost multi-path routing; Link-state routing protocol; Policy-based routing; Static routing; Multipath routing; Dynamic Source Routing; Routing (electronic design automation); Distributed computing; Bandwidth (computing); Routing protocol","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":[0.005620897,0.0006106488,0.0005738605,0.001479137,0.0009668243,0.001875711,0.001032089,0.001110909,0.001727848],"category_scores_gemma":[0.03038896,0.000358365,0.0003240343,0.001062658,0.002317384,0.004572831,0.001826404,0.0010525,0.0002418092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001125833,"about_ca_system_score_gemma":0.0005972602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001214198,"about_ca_topic_score_gemma":0.0009404209,"domain_scores_codex":[0.9953287,0.002745962,0.0001591785,0.0002715758,0.001217014,0.0002775048],"domain_scores_gemma":[0.9545963,0.03885619,0.002037185,0.002277408,0.001651322,0.0005815529],"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":[0.001638419,0.0001623575,0.004124902,0.0003112545,0.00009512891,0.0003011947,0.0008172842,0.5718275,0.01535046,0.1826824,0.001435762,0.2212534],"study_design_scores_gemma":[0.00009343203,0.0003497516,0.0006512006,0.00005861208,0.00005323566,0.0003228168,0.000180445,0.908772,0.005472432,0.08076081,0.003248391,0.00003686978],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4797347,0.004415949,0.5000404,0.002015874,0.0001270579,0.0001180607,0.000107762,0.000419096,0.01302116],"genre_scores_gemma":[0.9602504,0.0006496953,0.03841517,0.00006202692,0.00004422004,0.00003366773,0.00002760751,0.00002817839,0.000489076],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005620897,"threshold_uncertainty_score":0.02972651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01631672768361959,"score_gpt":0.2716345553146123,"score_spread":0.2553178276309928,"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."}}