{"id":"W2150238355","doi":"10.1007/s11036-008-0040-x","title":"Towards an FBM Model Based Network Calculus Framework with Service Differentiation","year":2007,"lang":"en","type":"article","venue":"Mobile Networks and Applications","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Network calculus; Computer science; Fractional Brownian motion; Queueing theory; Multiplexing; Computer network; Quality of service; Distributed computing; Brownian motion; Telecommunications; Mathematics","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":[0.0003458277,0.000213954,0.0001973702,0.00004439492,0.0004340899,0.000203287,0.0004715431,0.0001651772,0.000009167783],"category_scores_gemma":[0.000001803644,0.0001830484,0.00003853586,0.0007749432,0.00004918598,0.0002432602,0.00007403226,0.0002650202,0.000005154976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002932299,"about_ca_system_score_gemma":0.00006658529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001538733,"about_ca_topic_score_gemma":0.0001610896,"domain_scores_codex":[0.9984661,0.00003773167,0.0002675985,0.0005375475,0.0002220301,0.0004689363],"domain_scores_gemma":[0.9986181,0.000146655,0.000122488,0.0006775539,0.0001636342,0.0002715344],"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":[0.00001454991,0.00006785063,0.0002189448,0.000003894669,0.000009190043,6.883037e-7,0.00002620546,0.6813326,0.000002148674,0.08694462,0.0000846848,0.2312946],"study_design_scores_gemma":[0.0003631216,0.00007920557,0.001628321,0.0000255131,0.00002730762,0.000003605391,0.00001646291,0.9913111,0.000004713367,0.002985916,0.003313365,0.0002413153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004663591,0.000393514,0.9929485,0.000396723,0.0000762005,0.0007337157,0.000002621758,0.0003297922,0.0004553738],"genre_scores_gemma":[0.9577345,0.00003769014,0.03866337,0.002037392,0.0006763848,0.0007503639,0.00003786555,0.00002098749,0.00004150586],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9542851,"threshold_uncertainty_score":0.7464497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006721434690104711,"score_gpt":0.2320753152832501,"score_spread":0.2253538805931454,"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."}}