{"id":"W2257300034","doi":"10.1002/wcm.2663","title":"Performance and scalability evaluation of IEEE 802.11v/aa multicast transport","year":2016,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Multicast; Computer science; Retransmission; Scalability; Computer network; Acknowledgement; Throughput; Pragmatic General Multicast; IP multicast; Service (business); Source-specific multicast; Transmission (telecommunications); Wireless; Telecommunications","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":[0.003398343,0.0009998322,0.0005707344,0.001371816,0.0006665785,0.0007458726,0.0008509167,0.0007464901,0.0008107631],"category_scores_gemma":[0.007040386,0.0001911291,0.0002888217,0.001169969,0.0007649099,0.001102213,0.0006216469,0.0005610848,0.0001686642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001727952,"about_ca_system_score_gemma":0.0007473732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006015944,"about_ca_topic_score_gemma":0.001826145,"domain_scores_codex":[0.9974046,0.0009887572,0.0001416441,0.0002279213,0.0009025341,0.0003344736],"domain_scores_gemma":[0.9945955,0.002906357,0.00057631,0.0003290964,0.001359677,0.0002330591],"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":[0.002601394,0.001225108,0.01626646,0.0006366022,0.0002696578,0.0008668737,0.0005319594,0.7327992,0.1289453,0.007429434,0.005856573,0.1025715],"study_design_scores_gemma":[0.00007945224,0.001228054,0.004599325,0.00003077678,0.0000608952,0.0002107522,0.0001481604,0.9635027,0.02879078,0.0006551988,0.0006546039,0.00003926002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721665,0.002270801,0.01619065,0.0005031208,0.0001700584,0.0001329354,0.0002455593,0.0008246102,0.007495799],"genre_scores_gemma":[0.9970229,0.0002430922,0.002081855,0.00002576807,0.00002774153,0.0000269622,0.0001325603,0.00001814228,0.0004210107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006015944,"threshold_uncertainty_score":0.01797235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04186337210840999,"score_gpt":0.3085443466587389,"score_spread":0.2666809745503289,"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."}}