{"id":"W1972981034","doi":"10.1109/mwc.2006.1593522","title":"IEEE 802.11e enhancement for voice service","year":2006,"lang":"en","type":"article","venue":"IEEE Wireless Communications","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Polling; Computer network; Quality of service; IEEE 802; Voice over IP; Service (business); Bandwidth (computing); IEEE 802.11e-2005; Wireless Multimedia Extensions; IEEE 802.11; Header; Telecommunications; Wireless lan; Wireless; Wireless network; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001535373,0.0005908011,0.0003652269,0.0006139966,0.0005124306,0.001070676,0.0008806632,0.001153763,0.003460073],"category_scores_gemma":[0.002871863,0.0002599958,0.0002494004,0.0004045831,0.0003904242,0.001323943,0.0009994688,0.001513252,0.00180949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003700111,"about_ca_system_score_gemma":0.0004571943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005450433,"about_ca_topic_score_gemma":0.0006352506,"domain_scores_codex":[0.9988186,0.0002187933,0.0001000284,0.0001064807,0.0005297376,0.000226384],"domain_scores_gemma":[0.9988411,0.0001821944,0.00008932154,0.0001515343,0.0006713954,0.00006439893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007928025,0.0007234528,0.003190076,0.0005111654,0.00007083276,0.001065163,0.0004355421,0.006714637,0.2079015,0.06519563,0.02685198,0.6865472],"study_design_scores_gemma":[0.0002749232,0.00134085,0.006101873,0.0001779063,0.0002499085,0.00662366,0.0001912077,0.1321842,0.2159806,0.01415863,0.6225131,0.0002032052],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0652721,0.01035691,0.8184521,0.003433335,0.002513271,0.000607975,0.0002332631,0.00717724,0.09195381],"genre_scores_gemma":[0.7511456,0.005738426,0.1798581,0.002624965,0.001440055,0.0005047448,0.0005197996,0.0001621214,0.05800612],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003460073,"threshold_uncertainty_score":0.0115751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04154526463351205,"score_gpt":0.3034891945872322,"score_spread":0.2619439299537202,"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."}}