{"id":"W4249329879","doi":"10.1109/pads.2003.1207430","title":"Hybrid packet/fluid flow network simulation","year":2004,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Georgia Institute of Technology","keywords":"Computer science; Network packet; Jitter; Emulation; Latency (audio); Traffic generation model; Network traffic control; Computer network; Speedup; Network traffic simulation; Real-time computing; Distributed computing; Parallel computing","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":[0.0004791414,0.0004499646,0.0005876429,0.0005127027,0.0003421382,0.0009142957,0.0011715,0.0009019386,0.003643561],"category_scores_gemma":[0.001109,0.0002588318,0.0004879897,0.0004479608,0.000417955,0.0008513137,0.0008592854,0.0005600778,0.0004274485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005999854,"about_ca_system_score_gemma":0.0007089881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006396259,"about_ca_topic_score_gemma":0.002746165,"domain_scores_codex":[0.9996019,0.0000890218,0.00001753732,0.00005169235,0.0001848579,0.00005509464],"domain_scores_gemma":[0.9994629,0.0002816713,0.00003255198,0.00007832097,0.0001079802,0.00003667436],"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":[0.0001018718,0.0000744753,0.0006763189,0.00003129989,0.00002109445,0.00004862356,0.00002904301,0.9749113,0.003792812,0.006139078,0.0005196524,0.01365433],"study_design_scores_gemma":[0.00001166098,0.0000193897,0.00007114733,0.00000111875,0.000002644833,0.000007502757,0.000002618883,0.9970714,0.001111556,0.001140628,0.0005567449,0.000003496684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1597114,0.000207056,0.8199022,0.0001876961,0.0001258783,0.000298082,0.0005678992,0.002970338,0.01602945],"genre_scores_gemma":[0.8175741,0.0001864382,0.1720665,0.0001000107,0.00003371907,0.0004810463,0.000500328,0.0001135205,0.008944274],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006396259,"threshold_uncertainty_score":0.01271808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01022222720228703,"score_gpt":0.2204902181108672,"score_spread":0.2102679909085802,"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."}}