{"id":"W2087167646","doi":"10.1109/surv.2011.081511.00013","title":"Bandwidth Distribution Solutions for Performance Enhancement in Long-Reach Passive Optical Networks","year":2011,"lang":"en","type":"article","venue":"IEEE Communications Surveys & Tutorials","topic":"Advanced Photonic Communication Systems","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Pons; Passive optical network; Computer network; Bandwidth (computing); Dynamic bandwidth allocation; Quality of service; Network packet; Real-time computing; Physics; Optics; Wavelength-division multiplexing; Wavelength","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":[0.0008998621,0.0006065958,0.0005327358,0.0007861857,0.0005631965,0.001217491,0.001497977,0.000780347,0.003951006],"category_scores_gemma":[0.00168623,0.0001993001,0.0002114664,0.001104299,0.0004538668,0.002185562,0.0009423313,0.0009041288,0.0007817601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000841038,"about_ca_system_score_gemma":0.0004740002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005281347,"about_ca_topic_score_gemma":0.0006530524,"domain_scores_codex":[0.9995689,0.00009988711,0.0000221108,0.00007533535,0.0001511842,0.0000825296],"domain_scores_gemma":[0.9992384,0.0003019104,0.000118274,0.00010342,0.0002062665,0.00003165852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000341684,0.0002776171,0.001017382,0.0007893938,0.00006235008,0.0001813499,0.0002957195,0.0828945,0.08623406,0.1087206,0.004249997,0.7149354],"study_design_scores_gemma":[0.0001245877,0.0009059318,0.002722065,0.0004216843,0.0001561634,0.002080866,0.0006126165,0.6824824,0.08667792,0.1333643,0.09032688,0.000124571],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.05766087,0.01969324,0.9052686,0.001193924,0.0002007055,0.00008285926,0.0000535865,0.0008815256,0.01496463],"genre_scores_gemma":[0.8459909,0.00922903,0.1361775,0.0002641197,0.0003558456,0.00009913855,0.0001027289,0.0001499571,0.007630839],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003951006,"threshold_uncertainty_score":0.01321745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07327936646483105,"score_gpt":0.2872031714918014,"score_spread":0.2139238050269703,"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."}}