{"id":"W2110691754","doi":"10.1016/j.ipl.2004.01.008","title":"Packet loss probability for DiffServ over IP and MPLS reliable homogeneous multicast networks","year":2004,"lang":"en","type":"article","venue":"Information Processing Letters","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; École de Technologie Supérieure; Concordia University","funders":"","keywords":"Computer network; Multicast; Computer science; Multiprotocol Label Switching; Source-specific multicast; Xcast; IP multicast; Hybrid automatic repeat request; Distributed computing; Quality of service","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":[0.007135252,0.0005253159,0.0009734427,0.001592713,0.0007168921,0.001283615,0.001355035,0.0009223,0.001362896],"category_scores_gemma":[0.02850431,0.0005729257,0.0002882338,0.001048231,0.001643047,0.00190159,0.0008827586,0.001000039,0.0001557198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00230859,"about_ca_system_score_gemma":0.0006614383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002035954,"about_ca_topic_score_gemma":0.001346666,"domain_scores_codex":[0.9983233,0.0004556679,0.00007231472,0.0001625865,0.0007035353,0.0002825159],"domain_scores_gemma":[0.96095,0.03279112,0.00233967,0.001451886,0.001994648,0.0004727407],"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":[0.002943408,0.0002772489,0.01762803,0.0002537476,0.0001033193,0.0006333339,0.0005653913,0.8475006,0.01253223,0.06599569,0.00355252,0.04801457],"study_design_scores_gemma":[0.00003073693,0.0001083143,0.003405311,0.00001271092,0.00004871573,0.0001697876,0.00007607725,0.9825882,0.002953289,0.01034555,0.0002349995,0.00002634571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7569466,0.00171334,0.234292,0.001011094,0.00007951265,0.00007206458,0.0003369668,0.000602397,0.004945922],"genre_scores_gemma":[0.9954669,0.0003098099,0.003241477,0.00003509285,0.00004741067,0.00002792589,0.00009848493,0.00003681292,0.0007359727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007135252,"threshold_uncertainty_score":0.03773528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007454997472252719,"score_gpt":0.2067908082207045,"score_spread":0.1993358107484517,"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."}}