{"id":"W2107245740","doi":"10.5555/824475.825861","title":"Hybrid packet/fluid flow network simulation","year":2003,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Network packet; Jitter; Emulation; Network traffic control; Traffic generation model; Latency (audio); Computer network; Speedup; Network traffic simulation; Real-time computing; Distributed computing; Parallel computing; Telecommunications","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":[0.0004806377,0.0004362011,0.0005653034,0.0004933776,0.0003260647,0.0008499488,0.001083221,0.0008172765,0.003076797],"category_scores_gemma":[0.001000584,0.0002494008,0.000482807,0.0004175607,0.0003965283,0.0008175638,0.0007889242,0.000522249,0.0003759409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005659075,"about_ca_system_score_gemma":0.0007062043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006257217,"about_ca_topic_score_gemma":0.002661861,"domain_scores_codex":[0.9996344,0.00008801505,0.00001637546,0.00004597727,0.0001654772,0.00004981865],"domain_scores_gemma":[0.999508,0.0002622175,0.00003001559,0.00006949519,0.0000982326,0.00003205887],"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":[0.00009964667,0.00007294228,0.0006928377,0.00003070916,0.00002146318,0.00004503282,0.00002918194,0.9740301,0.003806458,0.006294234,0.0004922114,0.01438513],"study_design_scores_gemma":[0.0000109232,0.00001909659,0.00006922321,0.000001039808,0.000002601621,0.000007000222,0.000002565445,0.9971937,0.001103004,0.001045765,0.0005416559,0.000003341293],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1560954,0.0001981927,0.825412,0.0001763673,0.0001120567,0.0002599295,0.0005027239,0.002557059,0.01468629],"genre_scores_gemma":[0.8258915,0.0001877616,0.1644851,0.00008675546,0.00003031292,0.0004455144,0.0004472687,0.00009782462,0.008327953],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006257217,"threshold_uncertainty_score":0.01244158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01123634135228756,"score_gpt":0.2198580850870152,"score_spread":0.2086217437347276,"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."}}