{"id":"W4246001271","doi":"10.1002/wcm.701","title":"Channel assignment for multicast in multi‐channel multi‐radio wireless mesh networks","year":2008,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Multicast; Computer science; Computer network; Source-specific multicast; Unicast; Throughput; Xcast; Protocol Independent Multicast; Wireless mesh network; Pragmatic General Multicast; Channel (broadcasting); Distributed computing; Distance Vector Multicast Routing Protocol; Node (physics); Network packet; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008352234,0.0004167032,0.0005995121,0.0002089572,0.001176033,0.0001636532,0.002526277,0.0002261886,0.000001367566],"category_scores_gemma":[0.00002732907,0.000445194,0.0001449364,0.0006354292,0.0003452573,0.0003700049,0.002123007,0.0006001518,0.000004308046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001627206,"about_ca_system_score_gemma":0.00008971538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001498825,"about_ca_topic_score_gemma":0.0001690089,"domain_scores_codex":[0.996916,0.0003200091,0.0008492601,0.0008360658,0.0002320097,0.0008466798],"domain_scores_gemma":[0.9957306,0.001002603,0.0003427233,0.002465897,0.0002055353,0.0002526835],"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":[0.0000640325,0.004702996,0.005297855,0.0002201442,0.0002534698,0.00006894005,0.02510311,0.4943072,0.0005629301,0.02457486,0.0007978234,0.4440466],"study_design_scores_gemma":[0.002004195,0.0001064359,0.002144382,0.0001972521,0.00001039176,0.00005750029,0.0003225827,0.9939595,0.00005916792,0.00003832022,0.0006142116,0.0004860197],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0465324,0.001929483,0.948976,0.0002265514,0.0003223778,0.001703729,0.00000799555,0.000265169,0.00003631335],"genre_scores_gemma":[0.9229192,0.002008337,0.07383341,0.0001496383,0.00009048,0.000844906,0.00003756853,0.00005149321,0.00006502968],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8763868,"threshold_uncertainty_score":0.9998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05223035414448596,"score_gpt":0.2897389234527742,"score_spread":0.2375085693082882,"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."}}