{"id":"W2156478987","doi":"10.1109/noms.2004.1317640","title":"Using application feedback in differentiated services and policies","year":2004,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Quality of service; Differentiated services; Computer science; Mobile QoS; Computer network; Network packet; Bandwidth (computing); Differentiated service; Service (business); Class (philosophy); Integrated services; Resource (disambiguation); Distributed computing; Service provider; Service design","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":[0.00383157,0.0005699612,0.0004684491,0.000671577,0.0006685532,0.003225057,0.0008456925,0.001728687,0.003107646],"category_scores_gemma":[0.01162392,0.0003808355,0.0002580832,0.001093701,0.001534096,0.003390877,0.001282233,0.001519632,0.001227877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001492544,"about_ca_system_score_gemma":0.000955168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002210386,"about_ca_topic_score_gemma":0.0008137852,"domain_scores_codex":[0.996659,0.00128319,0.0001745581,0.0003449652,0.001355362,0.0001829165],"domain_scores_gemma":[0.9944044,0.003035347,0.0003412332,0.0008820829,0.001159183,0.0001776505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006314308,0.0003142378,0.00212684,0.0005433207,0.00005263351,0.0005353796,0.001894285,0.03149853,0.02463515,0.5753376,0.008568937,0.3538615],"study_design_scores_gemma":[0.0001980331,0.0005585948,0.002329394,0.000504098,0.0001378689,0.001005699,0.0004475295,0.2080208,0.06472271,0.5080724,0.2138196,0.000183237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05332989,0.01090491,0.8454139,0.006611106,0.00218386,0.0002557963,0.0003010254,0.002148818,0.07885079],"genre_scores_gemma":[0.755546,0.00595374,0.2129353,0.002209638,0.0006939093,0.0002817511,0.0003042496,0.0002690335,0.02180635],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00383157,"threshold_uncertainty_score":0.02026349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01366288068928939,"score_gpt":0.2374474979329728,"score_spread":0.2237846172436834,"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."}}