{"id":"W2045053428","doi":"10.1109/netwks.2008.4763669","title":"Impact of Bandwidth Demand Growth on HFC Network","year":2008,"lang":"en","type":"article","venue":"","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Bandwidth (computing); Dynamic bandwidth allocation; Computer science; Computer network; On demand; Telecommunications; Multimedia","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":[0.000041846,0.00006122456,0.00008925439,0.00002963576,0.00003228257,0.000002308971,0.0001100193,0.00002453469,0.0001205669],"category_scores_gemma":[0.000007472175,0.00004701067,0.00005790175,0.0001179782,0.0000154244,0.00003425536,0.00001631569,0.00006034233,0.00002445267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001594253,"about_ca_system_score_gemma":0.000008737681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002890916,"about_ca_topic_score_gemma":0.000005289264,"domain_scores_codex":[0.9997031,0.0000087165,0.0001005845,0.00003997541,0.00004311348,0.0001045161],"domain_scores_gemma":[0.9996283,0.00004377093,0.00001011151,0.0002617041,0.00001874308,0.00003733874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00005823399,0.0002878029,0.2387998,0.00004300372,0.0003478313,0.0000105479,0.0004893518,0.4031396,0.001779048,0.008244766,0.3439188,0.002881281],"study_design_scores_gemma":[0.0006697112,0.000269631,0.9378963,0.00004393364,0.00001470808,0.00001885124,0.000003873519,0.05417719,0.00204338,0.0008585825,0.003707623,0.0002962611],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9098949,0.0004717187,0.003810597,0.00002028282,0.00005694317,0.00004879847,0.000002797256,0.0001214262,0.08557248],"genre_scores_gemma":[0.9980219,0.0005566909,0.001195692,0.00001230701,0.00004039722,0.000002198365,0.000003668334,0.00001017187,0.0001569847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6990965,"threshold_uncertainty_score":0.1917039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01547799234721585,"score_gpt":0.238116099744562,"score_spread":0.2226381073973462,"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."}}