{"id":"W2163048703","doi":"10.1109/sarnof.2010.5469704","title":"Provisioning backhaul traffic flows in TDMA/OFDMA infrastructure Wireless Mesh Networks with near-perfect QoS","year":2010,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Backhaul (telecommunications); Computer science; Computer network; Time division multiple access; Wireless mesh network; Quality of service; Scheduling (production processes); Beamforming; Frequency-division multiple access; Wireless; Wireless network; Channel (broadcasting); Mathematical optimization; Base station; Orthogonal frequency-division multiplexing; Telecommunications; Mathematics","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":[0.0004757865,0.0004154,0.0004323067,0.0001240784,0.0002313774,0.0006405471,0.001574365,0.0003448312,0.0002769662],"category_scores_gemma":[0.00001910452,0.0003071188,0.00008360486,0.001238748,0.0001226368,0.0008186891,0.0003818462,0.00147843,0.00002719425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000509565,"about_ca_system_score_gemma":0.0002445519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006252727,"about_ca_topic_score_gemma":0.002130684,"domain_scores_codex":[0.997173,0.0001133152,0.0004372321,0.0009473316,0.0004676956,0.0008614693],"domain_scores_gemma":[0.9981185,0.0001977301,0.0001434732,0.001174049,0.0001076307,0.0002586256],"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":[0.0000419257,0.00009288966,0.006969788,0.00002002317,0.00002960762,0.0001062142,0.0008799044,0.5886741,0.0005111984,0.008015671,0.002857663,0.3918011],"study_design_scores_gemma":[0.0008168252,0.0001543491,0.006084635,0.0000918343,0.000007236257,0.00006994793,0.00002764719,0.9906146,0.0001443001,0.00005804971,0.001483728,0.0004468378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7836394,0.00004437585,0.2125545,0.0002882176,0.001168798,0.0006703859,6.182097e-7,0.0004043447,0.00122943],"genre_scores_gemma":[0.9391328,0.00001363019,0.05965557,0.0003850868,0.0004558798,0.0001049125,0.000004718061,0.00004437603,0.0002030583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4019406,"threshold_uncertainty_score":0.9999381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003450497764557694,"score_gpt":0.2000117285165861,"score_spread":0.1965612307520284,"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."}}