{"id":"W2736858543","doi":"","title":"Novel Resource Management Approach for End-to-End QoS Support in Wireless Mesh Networks","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Quality of service; Computer network; End-to-end principle; Wireless mesh network; Wireless; Reuse; Resource allocation; Resource management (computing); Distributed computing; Resource (disambiguation); Wireless network; Telecommunications; Engineering","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":[0.0001768104,0.0002267173,0.000239266,0.0001680285,0.00004344136,0.0000325884,0.0002091978,0.0001056321,0.00003573802],"category_scores_gemma":[0.000003362202,0.0002456119,0.0000511052,0.0004870084,0.00001147771,0.0001368144,0.00003585243,0.000141121,0.000004144781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001297148,"about_ca_system_score_gemma":0.000004150833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002011955,"about_ca_topic_score_gemma":0.000009760217,"domain_scores_codex":[0.9986584,0.000008495468,0.0003302839,0.000330162,0.0001591674,0.0005135299],"domain_scores_gemma":[0.9995078,0.0000373923,0.00002968232,0.0002989536,0.00002115421,0.0001049705],"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":[0.00002505203,0.00005495474,0.00002361405,0.00002849499,0.00001671228,0.000002599809,0.00005756764,0.9292775,0.00008682887,0.009115173,0.005522184,0.05578934],"study_design_scores_gemma":[0.0007342618,0.00004335748,0.0004495317,0.00002067447,0.00001006776,0.000002919767,0.00009397927,0.9920749,0.0001645383,0.00003795189,0.006062707,0.0003050755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005303892,0.00002040939,0.9537159,0.00006306767,0.0001175419,0.0009071871,0.000004308122,0.0003762863,0.04426487],"genre_scores_gemma":[0.6850589,0.00005645146,0.3122825,0.0004333049,0.0002614019,0.0001927815,0.0002044774,0.00007058411,0.001439659],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6845285,"threshold_uncertainty_score":0.9999996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009893091929468866,"score_gpt":0.2163842563663635,"score_spread":0.2064911644368947,"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."}}