{"id":"W2077664724","doi":"10.1109/infocom.2014.6848161","title":"Scheduling in a secure wireless network","year":2014,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Scheduling (production processes); Wireless network; Base station; Wireless; Distributed computing; Computer network; Dynamic priority scheduling; Fair-share scheduling; Maximum throughput scheduling; Round-robin scheduling; Mathematical optimization; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002329133,0.00008400893,0.0001200234,0.00005504883,0.00002144774,0.00002148321,0.0002381397,0.00007869324,0.0000404003],"category_scores_gemma":[0.00001112832,0.00008985039,0.00002163355,0.0002150547,0.00001428616,0.00008356629,0.00005111505,0.0002144151,0.00003080857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003032621,"about_ca_system_score_gemma":0.000003601704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000187977,"about_ca_topic_score_gemma":0.0001913441,"domain_scores_codex":[0.9994753,0.00003449171,0.000160927,0.00008046898,0.00006859699,0.000180203],"domain_scores_gemma":[0.9995202,0.00006444842,0.00001175104,0.0003558809,0.00001497561,0.00003277026],"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":[0.000006475696,0.0000593843,0.01448866,0.0001510244,0.0000297328,0.000002886969,0.001285134,0.425093,0.004027883,0.4784205,0.007003773,0.06943158],"study_design_scores_gemma":[0.0001401416,0.000007300625,0.00128265,0.00007431118,0.000001436204,0.000001576039,0.0000316866,0.9739594,0.002772084,0.004968599,0.0165726,0.0001882462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7070443,0.0003533704,0.213783,0.0002479166,0.0001120069,0.0001650895,4.651426e-7,0.00239277,0.0759011],"genre_scores_gemma":[0.9699203,0.00009118343,0.02975227,0.000103026,0.00006154287,0.0000245926,0.000003062482,0.00002338226,0.00002066405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5488664,"threshold_uncertainty_score":0.3663993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007122276794472298,"score_gpt":0.2135002530102881,"score_spread":0.2063779762158158,"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."}}