{"id":"W2121789305","doi":"10.1109/lcn.2009.5355035","title":"Voice call quality using 802.11e on a wireless mesh network","year":2009,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Queen's University","funders":"","keywords":"Computer network; Voice over IP; Computer science; Quality of service; Wireless mesh network; Wireless Multimedia Extensions; Call Admission Control; Wireless network; IEEE 802.11; Testbed; Packet loss; Network packet; Wireless; Telecommunications; Wi-Fi array; The Internet","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":[0.0007577086,0.0002151119,0.0002949538,0.00003879061,0.0002341316,0.0002695562,0.0008984688,0.0001229659,0.00002849906],"category_scores_gemma":[0.00001148691,0.0001787417,0.0001058786,0.0005349923,0.00002699895,0.0003265729,0.0001352965,0.0002403234,0.00006727652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005918019,"about_ca_system_score_gemma":0.0000728818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001452304,"about_ca_topic_score_gemma":0.00005736245,"domain_scores_codex":[0.9979303,0.0002180524,0.0003679784,0.0005176095,0.0003849056,0.0005811905],"domain_scores_gemma":[0.9986476,0.0001746446,0.0001339283,0.0008023503,0.00006894987,0.0001724693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006295356,0.0002652379,0.001596111,0.00002178386,0.00002740368,0.00004419349,0.0003101472,0.02778359,0.000482149,0.7711158,0.03064934,0.1676413],"study_design_scores_gemma":[0.001074859,0.0007743131,0.01957751,0.0002684844,0.00001012603,0.00002247682,0.000009501511,0.9290112,0.0009127419,0.02479041,0.02247699,0.001071449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03118966,0.00005117213,0.9424875,0.001729796,0.0004602049,0.003189846,0.000001187201,0.000536516,0.02035412],"genre_scores_gemma":[0.9495364,0.000005292144,0.04084696,0.007689874,0.0008811477,0.0001634179,0.000001650994,0.00001401593,0.0008612324],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9183468,"threshold_uncertainty_score":0.7288874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05058959551535852,"score_gpt":0.331743242946112,"score_spread":0.2811536474307534,"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."}}