{"id":"W1975298189","doi":"10.1364/jocn.4.000210","title":"Interleaved Polling Versus Multi-Thread Polling for Bandwidth Allocation in Long-Reach PONs","year":2012,"lang":"en","type":"article","venue":"Journal of Optical Communications and Networking","topic":"Advanced Photonic Communication Systems","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Plan for Science, Technology and Innovation; King Saud University","keywords":"Polling; Computer science; Dynamic bandwidth allocation; Computer network; Passive optical network; Thread (computing); Bandwidth allocation; Propagation delay; Queueing theory; Bandwidth (computing); Real-time computing; Operating 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":[0.001157802,0.0001331117,0.0002985244,0.0001618555,0.0001618005,0.00005015239,0.0004762918,0.00007560782,0.000002368443],"category_scores_gemma":[0.00006291162,0.000133473,0.00008286713,0.0002305806,0.00006484877,0.0003229241,0.0001225047,0.0004531179,9.397526e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000198836,"about_ca_system_score_gemma":0.00002642162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007784541,"about_ca_topic_score_gemma":0.0001024724,"domain_scores_codex":[0.9986966,0.00009709101,0.0007283174,0.00006947204,0.00010783,0.0003007421],"domain_scores_gemma":[0.9980307,0.0009312549,0.0002186837,0.0005773166,0.0001022017,0.0001398159],"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":[0.0007090901,0.001223682,0.03120765,0.0003655326,0.0009108626,0.000002952695,0.01596408,0.04244688,0.007144178,0.0391689,0.0002312332,0.860625],"study_design_scores_gemma":[0.007619652,0.000361223,0.01041855,0.001898547,0.0001623502,0.0001718178,0.003557754,0.9039015,0.0007598361,0.0004875617,0.06980237,0.0008588466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04066445,0.1011881,0.8549216,0.0008510371,0.0008540399,0.0004675384,0.0000039639,0.00006848613,0.0009807223],"genre_scores_gemma":[0.8959077,0.005787796,0.09805662,0.0000199953,0.0001614742,0.00002116756,0.00001037104,0.00002779555,0.000007090987],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8614546,"threshold_uncertainty_score":0.5442871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08936057996626365,"score_gpt":0.3402512064687678,"score_spread":0.2508906265025042,"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."}}