{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001562466,0.0002554062,0.0005975865,0.0002315579,0.0003271003,0.0006542279,0.000660886,0.0003975866,0.0003866223],"category_scores_gemma":[0.003950601,0.0001515011,0.0001984913,0.0003088656,0.0004664199,0.0009236038,0.0003932469,0.0004802613,0.00004620148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000588249,"about_ca_system_score_gemma":0.000653943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001120898,"about_ca_topic_score_gemma":0.001020162,"domain_scores_codex":[0.9991553,0.0003518572,0.00004713224,0.0001097885,0.0002080024,0.0001278882],"domain_scores_gemma":[0.9975472,0.001522429,0.000332451,0.0002986345,0.0002054594,0.00009370318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001279931,0.0003226936,0.007719361,0.0001759402,0.00007844573,0.0002181593,0.0002925372,0.7432351,0.04680187,0.01562008,0.0004553715,0.1838005],"study_design_scores_gemma":[0.00002882838,0.0001435657,0.0007920414,0.000005931884,0.00001691755,0.00006286107,0.00002354706,0.9893427,0.007569022,0.001760258,0.0002466002,0.000007788299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.412015,0.00116111,0.5843705,0.0001230952,0.00005089421,0.00006122234,0.00001083067,0.0004226023,0.00178485],"genre_scores_gemma":[0.9826084,0.00007006711,0.01711967,0.00001290059,0.00000809192,0.00001090294,0.000003530795,0.00000884108,0.0001575853],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001562466,"threshold_uncertainty_score":0.008263171,"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."}}