{"id":"W2738018578","doi":"","title":"High-performance multicast in multi-channel multi-radio wireless mesh networks","year":2012,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer network; Multicast; Computer science; Wireless mesh network; Source-specific multicast; Node (physics); Throughput; Channel (broadcasting); Xcast; Wireless network; Protocol Independent Multicast; Distributed computing; Wireless; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007604202,0.0003016562,0.0003806103,0.0005201163,0.0007613294,0.0005986765,0.0007450485,0.0005928667,0.001093559],"category_scores_gemma":[0.001506215,0.0001700646,0.0002818607,0.0006323439,0.0003335992,0.0009175334,0.0007013913,0.0005390661,0.0002414769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005615167,"about_ca_system_score_gemma":0.0003303571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009149209,"about_ca_topic_score_gemma":0.0009934627,"domain_scores_codex":[0.9994951,0.0002146476,0.00001946744,0.00005879595,0.000127757,0.00008427378],"domain_scores_gemma":[0.9994692,0.0003010491,0.00004414633,0.0000566849,0.000106267,0.00002263938],"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":[0.0002354358,0.0001392796,0.002372768,0.0005016893,0.00008375139,0.000437577,0.0002433809,0.5430642,0.02927466,0.1135143,0.008720859,0.3014121],"study_design_scores_gemma":[0.00001573655,0.0000664191,0.0002829217,0.00001710886,0.00001162174,0.00008564724,0.00003115572,0.9723699,0.003627556,0.01801924,0.005462045,0.00001075063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03787248,0.001729568,0.9539664,0.0004525925,0.000165092,0.00007817055,0.00006987997,0.0003859854,0.005279873],"genre_scores_gemma":[0.7653584,0.001512169,0.2294777,0.000162419,0.0002548356,0.0001929424,0.0001602212,0.00005902758,0.002822245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001093559,"threshold_uncertainty_score":0.004074156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06278664708732733,"score_gpt":0.2859743389017306,"score_spread":0.2231876918144032,"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."}}