{"id":"W2165481977","doi":"10.1109/atm.1998.675139","title":"Interoperability among explicit rate congestion control algorithms for ABR service in ATM networks","year":2002,"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":"University of British Columbia","funders":"","keywords":"Computer science; Network congestion; Asynchronous Transfer Mode; Computer network; Interoperability; Vendor; Transient (computer programming); Distributed computing; Flow control (data); Operating system","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":[0.0007357449,0.0002331673,0.0003358646,0.0000733882,0.0001105052,0.0001901762,0.0006777195,0.0001437479,0.0001068351],"category_scores_gemma":[0.00004843037,0.0002055315,0.00009415522,0.0004485186,0.00003783512,0.0006207653,0.00007545234,0.0002246648,0.00005011852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007475171,"about_ca_system_score_gemma":0.00001376758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001036685,"about_ca_topic_score_gemma":0.0006033487,"domain_scores_codex":[0.9980744,0.0002007319,0.0004613683,0.0006204409,0.000143358,0.0004997624],"domain_scores_gemma":[0.9986055,0.0003930296,0.0001038657,0.0005390125,0.0002079097,0.0001506129],"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":[0.00009842128,0.0003293673,0.009194487,0.00002556106,0.00006336308,0.000015072,0.0006827932,0.1202688,0.00004412429,0.02321064,0.003371032,0.8426963],"study_design_scores_gemma":[0.002597854,0.00009845965,0.01114356,0.00002980996,0.000009875253,0.000003278337,0.00002769622,0.984403,0.000008498383,0.0002599683,0.001176907,0.0002411285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04538517,0.0002167547,0.9475235,0.00439971,0.0006269555,0.000896807,0.000002463418,0.0003246688,0.0006239985],"genre_scores_gemma":[0.9919774,0.00002803489,0.003569163,0.003228829,0.000217433,0.0003367598,0.000003569298,0.00001452809,0.0006242977],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9465922,"threshold_uncertainty_score":0.8381329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02340727258986602,"score_gpt":0.2265013216868223,"score_spread":0.2030940490969562,"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."}}