{"id":"W2138683882","doi":"10.1109/glocom.1998.776644","title":"A dynamic reservation protocol for integrating CBR/VBR/ABR traffic over IEEE 802.14 HFC networks","year":2002,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Variable bitrate; Computer science; Constant bitrate; Computer network; Reservation; Bandwidth (computing); Channel (broadcasting); Dynamic bandwidth allocation; Real-time computing; Channel allocation schemes; Quality of service; Telecommunications; Wireless","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":[0.001334433,0.0005037073,0.0004380135,0.0006545123,0.0003986626,0.000973393,0.001126718,0.0005326317,0.0007751808],"category_scores_gemma":[0.00134782,0.0002907989,0.00035167,0.0003719419,0.0006662774,0.001141425,0.0002934307,0.0006269391,0.0002143808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008340716,"about_ca_system_score_gemma":0.0007444676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002246273,"about_ca_topic_score_gemma":0.001447984,"domain_scores_codex":[0.9993742,0.0001259926,0.00003478781,0.00005237511,0.0003172864,0.00009543572],"domain_scores_gemma":[0.9995545,0.0001257972,0.00005969345,0.00005795147,0.0001791093,0.00002301719],"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":[0.000450813,0.0003408087,0.002324485,0.0003300401,0.0001444636,0.0009665953,0.0003302671,0.4982015,0.1384617,0.2017324,0.004216308,0.1525006],"study_design_scores_gemma":[0.00003916924,0.000187846,0.0003198313,0.00001252314,0.00005513727,0.0003164705,0.00003388794,0.9800846,0.008793542,0.006287259,0.00383395,0.00003572574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08169652,0.001570536,0.9101186,0.0002951727,0.0001500283,0.0002368373,0.00005403423,0.0006385563,0.005239663],"genre_scores_gemma":[0.8358249,0.000859856,0.1601948,0.00007999613,0.0001196198,0.0002435839,0.0001012568,0.00006235739,0.002513552],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002246273,"threshold_uncertainty_score":0.00705719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04336000776271098,"score_gpt":0.3164836121957762,"score_spread":0.2731236044330652,"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."}}