{"id":"W2140233554","doi":"10.1109/glocom.2010.5684282","title":"High-Performance Multicast Routing in Multi-Channel Multi-Radio Wireless Mesh Networks","year":2010,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer network; Computer science; Wireless mesh network; Multicast; Distributed computing; Protocol Independent Multicast; Distance Vector Multicast Routing Protocol; Dynamic Source Routing; Link-state routing protocol; Steiner tree problem; Xcast; Routing (electronic design automation); Routing protocol; Wireless network; Wireless; Mathematics; Telecommunications; Mathematical optimization","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008393834,0.0003936428,0.0004319852,0.0001615069,0.0002109949,0.0002458224,0.001767853,0.0003252142,0.00003659638],"category_scores_gemma":[0.00005167942,0.0003639728,0.00008179854,0.0007918155,0.0001170866,0.0009696848,0.0006845555,0.001220113,0.0001054465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007103118,"about_ca_system_score_gemma":0.00005994588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004973191,"about_ca_topic_score_gemma":0.001970756,"domain_scores_codex":[0.9969218,0.00009042665,0.0006451946,0.0009339883,0.0003285357,0.001080097],"domain_scores_gemma":[0.9979546,0.0002210647,0.000178414,0.001268146,0.0001124404,0.0002653322],"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":[0.00007769746,0.002614083,0.07494841,0.0001059646,0.0001305462,0.0003928731,0.004416983,0.452654,0.005565865,0.1247966,0.001165418,0.3331316],"study_design_scores_gemma":[0.001630116,0.00003765177,0.03663595,0.00005000832,0.000003708629,0.00002581191,0.00002493413,0.9600499,0.001035939,0.00001446861,0.00003821047,0.0004532755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3201499,0.00001350927,0.6771632,0.000114712,0.001721413,0.000362534,6.34607e-7,0.0003544166,0.000119674],"genre_scores_gemma":[0.8760667,0.0000313859,0.1228697,0.0002434181,0.0002560414,0.00008066426,0.000003831414,0.00003845449,0.000409824],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5559168,"threshold_uncertainty_score":0.9998812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01776492422085461,"score_gpt":0.2397275709411747,"score_spread":0.2219626467203201,"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."}}