{"id":"W2607668353","doi":"","title":"Waiting time analysis of gated polling system for bandwidth allocation in a passive optical network","year":2005,"lang":"en","type":"article","venue":"WSEAS TRANSACTIONS on COMMUNICATIONS archive","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Polling; Computer science; Computer network; Bandwidth (computing); Dynamic bandwidth allocation; Bandwidth allocation; Real-time computing; Telecommunications","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":[0.0001465713,0.0001534905,0.000338394,0.0004679069,0.0001682922,0.00001530014,0.0004636672,0.00009081236,0.00001044565],"category_scores_gemma":[0.000033035,0.0001684582,0.000163868,0.001366599,0.0001440412,0.0001088392,0.00001425445,0.0003375228,0.000009940948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001950326,"about_ca_system_score_gemma":0.0000192713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007828625,"about_ca_topic_score_gemma":0.0002918636,"domain_scores_codex":[0.9988849,0.0000608248,0.0004839011,0.0001745997,0.0001059429,0.0002898883],"domain_scores_gemma":[0.9976833,0.001232199,0.00006866135,0.0008895138,0.00007146384,0.00005483503],"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":[0.00002334129,0.00007366009,0.00001070066,0.00002211369,0.0003441929,1.681401e-7,0.0001367561,0.9465265,0.0006251275,0.01382027,0.00001036733,0.03840676],"study_design_scores_gemma":[0.0002759153,0.00003271768,0.0001912669,0.0001311632,0.0003273001,8.667977e-7,0.0002313596,0.9969165,0.0008996248,0.0004069057,0.0004369291,0.0001493952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009119127,0.0002598118,0.9871054,0.0004763595,0.00002619653,0.0004762486,0.0001040151,0.0004867479,0.001946118],"genre_scores_gemma":[0.7690455,0.0001834079,0.2304762,0.000008813558,0.00001454478,0.0001463477,0.00009176796,0.00002297019,0.00001043077],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7599264,"threshold_uncertainty_score":0.6869528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01266235730042836,"score_gpt":0.2424166045657603,"score_spread":0.2297542472653319,"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."}}