{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005567428,0.0006189201,0.0003757628,0.00050888,0.000384628,0.0009280041,0.0009062116,0.0007123897,0.00175604],"category_scores_gemma":[0.002548545,0.0002991805,0.000504502,0.0004385837,0.0003289036,0.001028339,0.0005515232,0.001151763,0.0004415096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001003801,"about_ca_system_score_gemma":0.000880579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00447217,"about_ca_topic_score_gemma":0.003193623,"domain_scores_codex":[0.999662,0.0001125337,0.00001691837,0.00003978337,0.0001307472,0.00003801699],"domain_scores_gemma":[0.9991361,0.0004438701,0.00006235379,0.00006624353,0.0002349852,0.00005640904],"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":[0.00005073519,0.00003274745,0.0004497679,0.00002479444,0.000009079064,0.0000542484,0.0000465985,0.9776063,0.003190124,0.0118554,0.0006826271,0.005997517],"study_design_scores_gemma":[0.000003309808,0.000009405469,0.00005016036,0.000003398368,0.00000302695,0.000008655687,0.00000485453,0.9976258,0.0005345877,0.0009922391,0.0007619996,0.000002724303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0675888,0.0003734536,0.9161412,0.0003727078,0.0001477217,0.0001735429,0.0004783053,0.0009604683,0.0137638],"genre_scores_gemma":[0.7771112,0.0009251761,0.2116545,0.000181784,0.0001287388,0.0004446433,0.001300466,0.0003417237,0.007911602],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00447217,"threshold_uncertainty_score":0.008892298,"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."}}