{"id":"W2133010019","doi":"10.1109/wcsp.2009.5371532","title":"A new optimum jitter protection for conversational VoIP","year":2009,"lang":"en","type":"article","venue":"","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Jitter; Voice over IP; Computer science; Communication source; Network packet; Packet loss; Quality of service; Scheduling (production processes); Real-time computing; Computer network; Quality (philosophy); Interactivity; The Internet; Multimedia; Telecommunications; Engineering","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":[0.0001129038,0.0001151415,0.0001073341,0.00003904753,0.00003849114,0.0000344928,0.00007044173,0.00009704221,0.0003740425],"category_scores_gemma":[0.0000136578,0.0001162612,0.0000657128,0.00008563387,0.000008335437,0.0001677872,0.000007200019,0.0001099962,0.00004962845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009477033,"about_ca_system_score_gemma":0.00001929232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002337959,"about_ca_topic_score_gemma":0.0000267743,"domain_scores_codex":[0.999366,0.000008444561,0.0001475969,0.0001544255,0.0001124572,0.0002110918],"domain_scores_gemma":[0.9997071,0.00002566012,0.00001563004,0.0001451309,0.00003988785,0.00006661066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007004005,0.0003190872,0.0009367925,0.0004481812,0.0003163705,0.000006829981,0.002611418,0.2804152,0.01473836,0.02368298,0.4148044,0.26102],"study_design_scores_gemma":[0.002948974,0.0002929171,0.005978321,0.00002557232,0.000044675,0.00001250041,0.00005545321,0.8963635,0.00994201,0.02414431,0.05961005,0.0005817044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02001409,0.00009504559,0.9712003,0.0009367899,0.000817145,0.001064095,0.000005463338,0.0005960912,0.005270922],"genre_scores_gemma":[0.9844552,0.000003935638,0.0132452,0.0003606036,0.0007116193,0.0000545801,0.00001655763,0.00001807728,0.001134267],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9644411,"threshold_uncertainty_score":0.4740994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01188119570299224,"score_gpt":0.210632433646451,"score_spread":0.1987512379434587,"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."}}