{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002452943,0.000158785,0.0002010655,0.0001078307,0.00008006417,0.0001383015,0.0002557371,0.00006709045,0.00001861294],"category_scores_gemma":[0.00001019953,0.000144675,0.00005580779,0.0005202263,0.00002414638,0.0002829655,0.00007075186,0.0002013021,0.0000112501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006610044,"about_ca_system_score_gemma":0.00002584249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002052527,"about_ca_topic_score_gemma":0.00006058831,"domain_scores_codex":[0.9986539,0.00006643024,0.0002087912,0.0004134468,0.0001979155,0.0004594774],"domain_scores_gemma":[0.9994872,0.0001291764,0.00004930119,0.0001834485,0.00004920545,0.0001016544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003179234,0.0002988644,0.0003647253,0.000001794195,0.00002425242,0.0003577568,0.0007874075,0.002813528,0.00008681087,0.1005616,0.001084639,0.8935868],"study_design_scores_gemma":[0.0005851315,0.0001500062,0.0103142,0.00008739835,0.000003720186,0.00002369187,0.0000758298,0.9837016,0.0003935873,0.004373833,0.00003273288,0.0002582746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01295313,0.00009188912,0.9649942,0.001290296,0.0001974013,0.0001867331,2.68641e-7,0.0001314657,0.02015464],"genre_scores_gemma":[0.9967939,0.00007409606,0.0006289454,0.002142818,0.0001515112,0.000003414418,0.000002024397,0.000005375029,0.0001979148],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9838408,"threshold_uncertainty_score":0.5899676,"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."}}