{"id":"W1512614264","doi":"10.1109/milcom.2002.1180411","title":"Bandwidth management of MilSatCom links for multimedia network traffic","year":2003,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Department of National Defence; Communications Research Centre Canada","funders":"Ministère de la Défense Nationale; Defence Research and Development Canada","keywords":"Computer science; Computer network; Bandwidth (computing); Dynamic bandwidth allocation; Network traffic control; Digitization; Multimedia; Bandwidth allocation; Battlefield; Telecommunications; Network packet","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008867836,0.0004480864,0.0002721281,0.001672349,0.001039585,0.001523517,0.000914632,0.0005258221,0.002832147],"category_scores_gemma":[0.004379691,0.0001739278,0.0001657458,0.001055132,0.0003153022,0.001045834,0.0004380322,0.0004051385,0.0004461544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001333409,"about_ca_system_score_gemma":0.0005533772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004202927,"about_ca_topic_score_gemma":0.005747584,"domain_scores_codex":[0.9996062,0.00009713909,0.00001570252,0.00003740288,0.0001517768,0.00009175682],"domain_scores_gemma":[0.9984433,0.000815587,0.0001397577,0.0001299493,0.0003856854,0.00008581611],"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":[0.001392837,0.0005325822,0.01082013,0.0002865602,0.00007807522,0.0004787997,0.0007318583,0.543102,0.1069354,0.03055695,0.007701234,0.2973835],"study_design_scores_gemma":[0.00003784379,0.000236404,0.003842907,0.0000351137,0.0000588479,0.000174411,0.0002079871,0.952389,0.0308016,0.00578688,0.006398648,0.00003034817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7841873,0.002485492,0.1756131,0.000875799,0.0002131117,0.0002073843,0.0002761834,0.002849324,0.0332923],"genre_scores_gemma":[0.9899966,0.0002799689,0.007884916,0.00004770565,0.00005146408,0.00004306962,0.0001103075,0.00005231796,0.001533736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004202927,"threshold_uncertainty_score":0.009674668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01185243359118544,"score_gpt":0.2256014181356047,"score_spread":0.2137489845444193,"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."}}