{"id":"W2565401572","doi":"10.1109/uemcon.2016.7777921","title":"Evaluation of channel switching overhead for multicast communications in wireless mesh networks","year":2016,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer network; Multicast; Computer science; Wireless mesh network; Jitter; Overhead (engineering); Source-specific multicast; Channel (broadcasting); Throughput; Protocol Independent Multicast; Wireless network; 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":[0.001955452,0.0006708074,0.0005249427,0.0008287888,0.0004719259,0.0005181489,0.0007215116,0.000527051,0.0005043843],"category_scores_gemma":[0.0116987,0.0001975215,0.0002730617,0.0007758907,0.0003985972,0.0009730185,0.0003616966,0.0004742556,0.00003881253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001458141,"about_ca_system_score_gemma":0.000650841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00272252,"about_ca_topic_score_gemma":0.001967127,"domain_scores_codex":[0.9984969,0.0006887288,0.00006966948,0.00007729778,0.0004782068,0.0001892168],"domain_scores_gemma":[0.9825857,0.01485206,0.0009302041,0.0005491809,0.0008907369,0.0001922012],"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":[0.0005026101,0.0002234562,0.004865414,0.00009633755,0.00005500829,0.0000846456,0.00004563232,0.9632792,0.01342124,0.0009624673,0.0001556627,0.01630829],"study_design_scores_gemma":[0.0000119775,0.0002803174,0.00106188,0.000006288444,0.00002678747,0.00003287847,0.0000161661,0.9933885,0.004876629,0.0002088101,0.00008267317,0.000007089044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9619378,0.0009397256,0.03388697,0.0001547049,0.00004668523,0.00006603109,0.00008258107,0.0002208732,0.002664516],"genre_scores_gemma":[0.9969094,0.0001118121,0.002829475,0.000008255895,0.000007676724,0.000009871284,0.00002392119,0.00001282789,0.00008672811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00272252,"threshold_uncertainty_score":0.01057959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06713697351418098,"score_gpt":0.3285946513088596,"score_spread":0.2614576777946786,"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."}}