{"id":"W2281004181","doi":"","title":"A Novel Upstream Scheduling Algorithm for Quality of Service Provisioning in Ethernet Passive Optical Networks","year":2005,"lang":"en","type":"article","venue":"Optical Fiber Communication Conference","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer network; Computer science; Carrier Ethernet; Passive optical network; Bottleneck; Ethernet; 10G-PON; Connection-oriented Ethernet; Provisioning; Upstream (networking); Embedded system; Wavelength-division multiplexing","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":[0.0003709303,0.0002243143,0.0004082272,0.00007056342,0.00006270358,0.00004268706,0.0007171596,0.0003032912,0.00003603467],"category_scores_gemma":[0.0003796555,0.0002266747,0.00006626455,0.000359153,0.000203114,0.0002329019,0.0002682431,0.0006368153,0.00001397627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001059842,"about_ca_system_score_gemma":0.00003702296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001674037,"about_ca_topic_score_gemma":0.0001397533,"domain_scores_codex":[0.9984104,0.00004189072,0.0007032548,0.0002606696,0.0001803569,0.000403405],"domain_scores_gemma":[0.9971961,0.001489855,0.00009906993,0.0008276146,0.0002991568,0.00008825208],"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":[0.00002208721,0.000122296,0.00004292879,0.00004715343,0.00002554871,1.870746e-7,0.0001104056,0.3696983,0.001442847,0.06847031,0.000007620048,0.5600103],"study_design_scores_gemma":[0.000668005,0.00003703648,0.0005558315,0.0002130214,0.000012524,0.000001863521,0.0001815595,0.9934033,0.001966567,0.002224553,0.0004679521,0.000267777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0256036,0.0003775006,0.9690018,0.001629141,0.00002927971,0.0004911792,0.00001402185,0.0003164707,0.002537018],"genre_scores_gemma":[0.441947,0.00009711696,0.5577309,0.00004828437,0.00002231568,0.0000939361,0.00002340948,0.00002158208,0.00001555388],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.623705,"threshold_uncertainty_score":0.9243528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03938539572433504,"score_gpt":0.3018570787361655,"score_spread":0.2624716830118304,"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."}}