{"id":"W2102493054","doi":"10.1109/icumt.2009.5345568","title":"Bandwidth efficient multicast routing in multi-channel multi-radio wireless mesh networks","year":2009,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":32,"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; Steiner tree problem; Source-specific multicast; Xcast; 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":[0.0008437577,0.0004183594,0.0004817632,0.0001926358,0.0001929321,0.0002717128,0.001418084,0.0002359319,0.00001723083],"category_scores_gemma":[0.00005426426,0.0003832594,0.0001452127,0.001020682,0.00006376135,0.0003291169,0.0003622152,0.0005825949,0.00005518148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001835994,"about_ca_system_score_gemma":0.0000543637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001482438,"about_ca_topic_score_gemma":0.000231885,"domain_scores_codex":[0.9964798,0.0001771313,0.0006979603,0.001060222,0.0004019228,0.001182959],"domain_scores_gemma":[0.998144,0.0002194722,0.0001672245,0.001061082,0.0000998756,0.0003083638],"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":[0.00002443518,0.001464611,0.001633351,0.000009669812,0.0000237728,0.0002347207,0.002048583,0.885943,0.0002123561,0.02527584,0.0003990984,0.08273059],"study_design_scores_gemma":[0.00206857,0.00007744545,0.01580313,0.00008790502,0.000004982931,0.00002339182,0.00005784053,0.9811758,0.0001797881,0.0000278356,0.00002469643,0.0004686285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02048751,0.0001134913,0.9768348,0.0003352443,0.0006529056,0.000630409,7.258079e-7,0.0004832139,0.0004617415],"genre_scores_gemma":[0.9310958,0.00002451427,0.06774595,0.0006278048,0.0001345725,0.00003164967,0.000003353471,0.00002465596,0.0003117422],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9106082,"threshold_uncertainty_score":0.999862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02162555421911891,"score_gpt":0.2546204330527073,"score_spread":0.2329948788335884,"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."}}