{"id":"W2145601264","doi":"10.5539/cis.v4n4p64","title":"Investigation of QoS Multicast Routing Based on Intelligent Multiple Constrained","year":2011,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Multicast; Computer network; Protocol Independent Multicast; Distance Vector Multicast Routing Protocol; Xcast; Distributed computing; Pragmatic General Multicast; Source-specific multicast; Quality of service; Packet loss; Inter-domain; Network packet","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005958669,0.0000894187,0.0001010313,0.0002344218,0.000154751,0.0001295499,0.0004474327,0.00002696656,0.000005646718],"category_scores_gemma":[0.0000666999,0.00007654264,0.00002442943,0.0005179395,0.000344114,0.002793983,0.0001026345,0.00006832425,0.00001624387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001735424,"about_ca_system_score_gemma":0.0001292175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008166315,"about_ca_topic_score_gemma":4.018301e-7,"domain_scores_codex":[0.9990109,0.0000258002,0.0003316569,0.0001621758,0.0003009612,0.0001685301],"domain_scores_gemma":[0.9991008,0.0001243666,0.0001637263,0.0002396424,0.0002523185,0.0001191602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001698511,0.0000221001,0.004991851,0.00001752969,0.000003751295,5.918503e-7,0.005248769,0.003689971,0.0001628102,0.1742677,0.00005830636,0.8115197],"study_design_scores_gemma":[0.0003471212,0.00011741,0.01400187,0.00003484516,0.000001485216,0.000002990628,0.00003332245,0.9826256,0.002518188,0.00008622482,0.0001438633,0.00008708356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0392514,0.000002344714,0.9581839,0.0001170649,0.0003731229,0.0001504441,0.000001175133,0.00007434958,0.001846205],"genre_scores_gemma":[0.9254659,0.000001537006,0.0735671,0.000931894,0.00002511054,0.000004684235,0.000001375116,0.000001157739,0.000001229959],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9789356,"threshold_uncertainty_score":0.3121319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03183967508221781,"score_gpt":0.2174133411191931,"score_spread":0.1855736660369753,"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."}}