{"id":"W2151861861","doi":"10.1109/glocom.1994.513318","title":"ATM switching node design based on a versatile traffic descriptor","year":2002,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Burstiness; Computer science; Computer network; Quality of service; Asynchronous Transfer Mode; Traffic shaping; Bandwidth (computing); Scheduling (production processes); Network traffic control; ATM adaptation layer; Integrated Services Digital Network; Traffic policing; Distributed computing; Network packet; Engineering","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":[0.000216667,0.0001551907,0.0001401817,0.00007829074,0.000152617,0.0001701633,0.0005500685,0.00005622092,0.0004196105],"category_scores_gemma":[0.00002692611,0.0001324422,0.00007541829,0.0002615604,0.00001409826,0.0002311261,0.00002556392,0.0001389509,0.0005929429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004645575,"about_ca_system_score_gemma":0.00002965718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003278195,"about_ca_topic_score_gemma":0.000002777259,"domain_scores_codex":[0.9987614,0.0001070901,0.000169196,0.0003688406,0.0002747049,0.0003187243],"domain_scores_gemma":[0.9990588,0.0002817527,0.00004469026,0.0004505009,0.00003475551,0.0001294501],"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":[0.00001671464,0.0001450802,0.00001911224,0.000002666839,0.00001123115,0.00001646539,0.0002693137,0.2745107,0.00009329895,0.005331613,0.02357869,0.6960052],"study_design_scores_gemma":[0.0007458019,0.0001310689,0.00003365428,0.00001675741,0.000005563395,0.000002715132,0.00000898294,0.9953384,0.00007700941,0.00003874775,0.003432319,0.0001690046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002931152,0.00006107223,0.9868713,0.002522211,0.000393506,0.0001838378,2.819504e-7,0.0005750061,0.006461648],"genre_scores_gemma":[0.9258568,0.000002832752,0.06989095,0.003227088,0.00009057527,0.00002310567,3.163007e-7,0.000009828824,0.0008985423],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9229256,"threshold_uncertainty_score":0.7621279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03209241465559871,"score_gpt":0.2004102035049041,"score_spread":0.1683177888493054,"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."}}