{"id":"W2042973944","doi":"10.1109/4234.917106","title":"Credit-based processor sharing for decoupled delay and bandwidth allocation","year":2001,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Dynamic bandwidth allocation; Bandwidth (computing); Computer science; Processor sharing; Computer network; Bandwidth allocation; Channel allocation schemes; Telecommunications; Queueing theory; Wireless","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":[0.0003104838,0.0001154852,0.0001199477,0.00009264507,0.0004146688,0.0001839628,0.001506444,0.00004359687,0.000002586806],"category_scores_gemma":[0.00003808968,0.0001194822,0.00004382166,0.0002672414,0.00008988791,0.0003304072,0.0001001499,0.0001134474,0.00000738954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000037097,"about_ca_system_score_gemma":0.00004871023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001375728,"about_ca_topic_score_gemma":0.00008318257,"domain_scores_codex":[0.9991326,0.00004337024,0.0002204107,0.0002812279,0.0001122011,0.000210183],"domain_scores_gemma":[0.9980184,0.0003672593,0.0001006415,0.001314727,0.0001239876,0.0000749832],"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":[0.0001494516,0.0005773141,0.009842526,0.0001153983,0.0002085724,0.00000900524,0.001531592,0.03882685,0.01422875,0.06186632,0.0275314,0.8451128],"study_design_scores_gemma":[0.0008206895,0.00002700209,0.0006159474,0.00003181574,0.00001864115,0.000008991357,0.000008137003,0.9777461,0.0001084221,0.0003071631,0.02014269,0.0001643859],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04402839,0.000401863,0.907997,0.04670079,0.0001566739,0.0003795965,0.000001844953,0.000207399,0.0001264678],"genre_scores_gemma":[0.9285371,0.00009898912,0.06608678,0.004737183,0.00008072739,0.0003725241,0.00001735103,0.00001130216,0.00005802615],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9389192,"threshold_uncertainty_score":0.4872343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02958737724560697,"score_gpt":0.2696776256554331,"score_spread":0.2400902484098262,"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."}}