{"id":"W2165072660","doi":"10.1109/glocom.2006.985","title":"WSN16-4: Logical Topology Design and Interface Assignment for Multi-Channel Wireless Mesh Networks","year":2006,"lang":"en","type":"article","venue":"Globecom","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer network; Computer science; Logical topology; Router; Wireless mesh network; Topology (electrical circuits); Network topology; Interface (matter); Distributed computing; Mesh networking; Goodput; Wireless network; Switched mesh; Channel (broadcasting); Wireless; Throughput; Engineering; Telecommunications; Parallel computing","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":[0.001048801,0.0003495872,0.0003155422,0.0005392429,0.0003177411,0.0005238171,0.0009801044,0.0003189654,0.001836204],"category_scores_gemma":[0.001515037,0.000214192,0.0002153466,0.0004952273,0.0002974512,0.0007329886,0.0005438557,0.0003130641,0.0002322725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005922791,"about_ca_system_score_gemma":0.0007182676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001371203,"about_ca_topic_score_gemma":0.00327098,"domain_scores_codex":[0.9996974,0.0001268597,0.00002012268,0.000034931,0.00009137668,0.00002928576],"domain_scores_gemma":[0.9996552,0.0000955819,0.00006233878,0.00005809688,0.000105534,0.00002319209],"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":[0.0001869004,0.00009426551,0.00221009,0.0002583739,0.0000756486,0.00008318824,0.00008676546,0.6642131,0.02377389,0.01629255,0.004730708,0.2879945],"study_design_scores_gemma":[0.00002989719,0.00005549065,0.0002722984,0.000005763364,0.000009465307,0.00003884819,0.00001273181,0.9879214,0.005601093,0.002611918,0.003435566,0.00000570396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02111707,0.0001705272,0.9758502,0.0001171484,0.00003828338,0.0001067044,0.00005162583,0.0004371786,0.002111298],"genre_scores_gemma":[0.2712082,0.0001833846,0.7261716,0.00005017777,0.00003667309,0.0001640631,0.0001848942,0.00009387235,0.001907183],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001836204,"threshold_uncertainty_score":0.006142735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.032760701758184,"score_gpt":0.2707320205910452,"score_spread":0.2379713188328612,"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."}}