{"id":"W2155128235","doi":"10.1109/glocom.2000.891905","title":"Traffic modeling: techniques, algorithms and statistical measures","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Autocorrelation; Computer science; Marginal distribution; Algorithm; Queueing theory; Spatial analysis; Gaussian process; Stochastic process; Gaussian; Traffic generation model; Data mining; Statistics; Mathematics; Random variable; Real-time computing","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":[0.001909461,0.001050889,0.0008757113,0.001439569,0.0004242641,0.002094528,0.001555312,0.001288479,0.00151576],"category_scores_gemma":[0.008188769,0.0004893885,0.0007764155,0.002091828,0.0008865669,0.00364694,0.001031291,0.00164441,0.001036501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008129633,"about_ca_system_score_gemma":0.001118451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002193663,"about_ca_topic_score_gemma":0.001079992,"domain_scores_codex":[0.9986402,0.0006059152,0.0000961554,0.0001461918,0.0004561126,0.00005541454],"domain_scores_gemma":[0.9981178,0.001036558,0.0002074324,0.0003311746,0.000270892,0.0000362088],"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":[0.00003217661,0.0001030106,0.001597241,0.0001922007,0.00009661665,0.00006037484,0.0001351838,0.6655043,0.002664215,0.1875822,0.003672758,0.1383598],"study_design_scores_gemma":[0.000006115631,0.00001466807,0.0001088108,0.00002212734,0.00001021845,0.00005315493,0.00001064723,0.9420021,0.001024305,0.05316196,0.003574359,0.00001144945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001648737,0.000212354,0.996868,0.0001129371,0.00002157023,0.00002552377,0.00004928471,0.0003832644,0.0006783272],"genre_scores_gemma":[0.1406256,0.002554077,0.8531642,0.0001181847,0.0002308583,0.000489688,0.0004368039,0.0002934434,0.002087181],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002193663,"threshold_uncertainty_score":0.01009834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0335817913482945,"score_gpt":0.2431800165644585,"score_spread":0.209598225216164,"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."}}