{"id":"W2126781925","doi":"10.1016/j.comcom.2013.03.001","title":"Comparison of PI controllers designed for the delay model of TCP/AQM networks","year":2013,"lang":"en","type":"article","venue":"Computer Communications","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Université de Montréal","funders":"","keywords":"Active queue management; Computer science; Network congestion; Robustness (evolution); Queue; Computer network; Flow control (data); PID controller; Control theory (sociology); Control (management); Control engineering; Engineering; Network packet","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":[0.001795687,0.0007008404,0.0007216576,0.000696243,0.0005289082,0.0009692888,0.0009375102,0.0008208651,0.001671856],"category_scores_gemma":[0.00395031,0.0002125752,0.0003326781,0.0003451621,0.0003402926,0.0005098257,0.0003489637,0.0007544003,0.0002066204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008605497,"about_ca_system_score_gemma":0.0008955111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004600213,"about_ca_topic_score_gemma":0.002714719,"domain_scores_codex":[0.9995089,0.0001488089,0.00003267138,0.00007009121,0.0001641551,0.00007542291],"domain_scores_gemma":[0.9980053,0.001059799,0.0001172361,0.0001238723,0.0006364968,0.00005733336],"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":[0.002389064,0.0004720321,0.003296411,0.0007737747,0.0002709053,0.0001538984,0.0002312189,0.7897574,0.0163944,0.00868357,0.001886178,0.1756911],"study_design_scores_gemma":[0.00009873872,0.0004079743,0.001056592,0.00002053023,0.00008933878,0.00003133067,0.00004456551,0.9914429,0.005286587,0.0007920633,0.000716151,0.00001330388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4424176,0.004249029,0.5305005,0.0004280984,0.0007635902,0.000259293,0.0001521105,0.001609656,0.01962011],"genre_scores_gemma":[0.9909287,0.0002397762,0.008057072,0.00003146905,0.00002143908,0.0000458817,0.00003596316,0.00001826762,0.0006214685],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004600213,"threshold_uncertainty_score":0.00949657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06081634683340278,"score_gpt":0.2979869743649653,"score_spread":0.2371706275315625,"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."}}