{"id":"W1990096938","doi":"10.1145/1143549.1143667","title":"Bottleneck-first scheduling for real-time traffic in IEEE 802.11 infrastructure-based mesh networks","year":2006,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Computer network; Bottleneck; Wireless mesh network; Round-robin scheduling; Scheduling (production processes); Network packet; Dynamic priority scheduling; Fair-share scheduling; Distributed computing; Real-time computing; Wireless network; Wireless; Engineering; Embedded system; Telecommunications; Quality of service","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":[0.003345949,0.0006340632,0.0009150172,0.001068337,0.001017931,0.0008606189,0.001643763,0.000475538,0.0007772338],"category_scores_gemma":[0.006597233,0.0003969016,0.0003174728,0.0008993428,0.0007140808,0.00154243,0.0005981561,0.0006057734,0.0001353002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001874696,"about_ca_system_score_gemma":0.001560584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003887205,"about_ca_topic_score_gemma":0.003163228,"domain_scores_codex":[0.9989601,0.0004067829,0.00005343989,0.0001279329,0.0002595333,0.0001921471],"domain_scores_gemma":[0.9967316,0.001870001,0.0003906893,0.0002700425,0.0005827491,0.0001549455],"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":[0.00060253,0.0001556823,0.002081403,0.0002313319,0.00007049555,0.0001686393,0.0003565354,0.8388762,0.0179445,0.02785905,0.002803801,0.1088498],"study_design_scores_gemma":[0.00001193109,0.00005821038,0.0001680518,0.000003940866,0.000007674077,0.00002082898,0.00002068956,0.9942468,0.001841969,0.003179628,0.0004331628,0.000007238255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1055686,0.001371432,0.8908055,0.0002135081,0.0001332306,0.00004839743,0.00004861239,0.000537558,0.00127301],"genre_scores_gemma":[0.9479159,0.0004073474,0.05086375,0.00005001332,0.00008101861,0.00004449117,0.00006337278,0.00005792404,0.0005161406],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003887205,"threshold_uncertainty_score":0.01769531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008607568707454575,"score_gpt":0.2320672651383536,"score_spread":0.223459696430899,"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."}}