{"id":"W2153868468","doi":"","title":"New speech traffic background simulation models for realistic VoIP network planning","year":2010,"lang":"en","type":"article","venue":"International Symposium on Performance Evaluation of Computer and Telecommunication Systems","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cistel Technology (Canada); Carleton University","funders":"","keywords":"Computer science; Voice over IP; Traffic generation model; Jitter; Network packet; Network traffic simulation; Network planning and design; Codec; Voice activity detection; Computer network; Network traffic control; Real-time computing; Speech processing; The Internet; Telecommunications; Speech recognition","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":[0.004147025,0.0002148589,0.0002774573,0.0002257044,0.0003129911,0.0003988688,0.002033204,0.0001497531,0.00001269381],"category_scores_gemma":[0.00005436132,0.0002180943,0.00007611952,0.000337859,0.00006113802,0.001065073,0.0003493435,0.0003677351,0.000008654798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001539227,"about_ca_system_score_gemma":0.0002638276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004643253,"about_ca_topic_score_gemma":0.00001796514,"domain_scores_codex":[0.9967387,0.000349904,0.000807586,0.0004058714,0.001426494,0.0002714693],"domain_scores_gemma":[0.9947743,0.00116195,0.0005212526,0.001336446,0.002081589,0.0001244878],"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":[0.00004225383,0.00005157512,0.0001965665,0.00001817967,0.00004480631,4.889627e-8,0.0002953154,0.8500599,0.0001047098,0.02260076,0.0004671728,0.1261188],"study_design_scores_gemma":[0.001074139,0.0001502538,0.004092772,0.0001479924,0.00001687002,0.0000126363,0.00001369621,0.9901032,0.00008405685,0.0007391518,0.003361538,0.0002036614],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2043898,0.0001804597,0.7884261,0.0009798532,0.001505876,0.001069788,0.000006174841,0.0001174255,0.003324512],"genre_scores_gemma":[0.9452334,0.0001176056,0.05362089,0.0000602442,0.0006058654,0.0001505137,0.0001036511,0.00002141219,0.00008642288],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7408435,"threshold_uncertainty_score":0.8893629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08913711565501556,"score_gpt":0.3637983241202977,"score_spread":0.2746612084652822,"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."}}