{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003546402,0.000122242,0.0001866105,0.00003102503,0.00007233039,0.00003350635,0.0004224257,0.00008792822,0.00004073868],"category_scores_gemma":[0.000006797635,0.0001050178,0.000107816,0.0002412027,0.00002753682,0.0000942082,0.00003328566,0.00008920196,0.00001730541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001143395,"about_ca_system_score_gemma":0.00002643034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.450435e-7,"about_ca_topic_score_gemma":0.000004000136,"domain_scores_codex":[0.9989319,0.00004389374,0.0002630292,0.0002844397,0.000157208,0.0003195443],"domain_scores_gemma":[0.99923,0.0001792087,0.00007217072,0.0003702112,0.00006279195,0.0000855892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001053253,0.00006559658,0.00005338534,0.00002251325,0.00006776524,0.000003165218,0.0000638943,0.03025782,0.000002226705,0.2739586,0.01005594,0.6854386],"study_design_scores_gemma":[0.002105567,0.0001238316,0.0002969128,0.00004255102,0.00003640404,0.000003291525,0.00003617106,0.9159117,0.00007103763,0.002173479,0.07895789,0.0002411608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002062767,0.0004799059,0.9877484,0.0004448564,0.0007748885,0.0004733033,8.391206e-7,0.000157098,0.00785797],"genre_scores_gemma":[0.6304764,0.00004733759,0.3666255,0.0003821008,0.00008837169,0.00006213701,0.000001765065,0.000007963265,0.002308397],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8856539,"threshold_uncertainty_score":0.4282501,"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."}}