{"id":"W2031409413","doi":"10.1109/ants.2009.5409893","title":"Channel assignment in cognitive wireless mesh networks","year":2009,"lang":"en","type":"article","venue":"","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Wireless mesh network; Computer network; Cognitive radio; Computer science; Spectrum management; Quality of service; Heuristics; Channel (broadcasting); Wireless; Channel allocation schemes; The Internet; Wireless network; Distributed computing; 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":[0.0009310099,0.0004591098,0.0005355801,0.0005727141,0.0008147847,0.0009926046,0.001126608,0.0009173926,0.001398692],"category_scores_gemma":[0.002781369,0.0002759536,0.0003772344,0.0008335814,0.001081549,0.001239894,0.001051501,0.0005772518,0.0001950708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009539497,"about_ca_system_score_gemma":0.0008199376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004360392,"about_ca_topic_score_gemma":0.002901102,"domain_scores_codex":[0.9991979,0.0002827791,0.00001962814,0.0001218644,0.0001683716,0.0002094299],"domain_scores_gemma":[0.9990206,0.0005938308,0.0001176696,0.00007785522,0.0001206723,0.00006936801],"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":[0.0001140786,0.00004823771,0.0008731057,0.0001100512,0.00004461536,0.0002473484,0.0001140127,0.8651109,0.002330861,0.08561897,0.001964553,0.0434233],"study_design_scores_gemma":[0.00001882394,0.00003185157,0.0001544008,0.000007981587,0.00001566455,0.00006714319,0.00004621788,0.9660455,0.0004696015,0.03151458,0.001615052,0.0000130606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04430282,0.001502095,0.9451327,0.0003980663,0.0002482413,0.00006394245,0.00007600034,0.0001921099,0.0080839],"genre_scores_gemma":[0.9260978,0.0009240556,0.0689403,0.0001489551,0.0001909244,0.0001237995,0.0000542403,0.00002468867,0.003495324],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004360392,"threshold_uncertainty_score":0.008669972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01676681717689782,"score_gpt":0.2462988650312231,"score_spread":0.2295320478543253,"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."}}