{"id":"W2106760612","doi":"10.1109/icc.2008.516","title":"Network Coding Aware Dynamic Subcarrier Assignment in OFDMA Wireless Networks","year":2008,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Subcarrier; Computer science; Linear network coding; Computer network; Telecommunications link; Orthogonal frequency-division multiplexing; Spectral efficiency; Diversity gain; Heuristic; Wireless network; Wireless; Distributed computing; Channel (broadcasting); Fading; Network packet; Telecommunications","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":[0.0009507939,0.0003405501,0.0003934944,0.0003179935,0.0003869807,0.0005823622,0.0005992996,0.000418147,0.0006589724],"category_scores_gemma":[0.002972,0.0002376235,0.0001393581,0.0005285333,0.0009076448,0.0008423048,0.00045622,0.0004832695,0.0001049274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009430117,"about_ca_system_score_gemma":0.001308752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003002438,"about_ca_topic_score_gemma":0.003134104,"domain_scores_codex":[0.9995912,0.0001781228,0.00001037359,0.00004775296,0.0001058952,0.00006671029],"domain_scores_gemma":[0.9988967,0.0008013131,0.0001011836,0.00007470651,0.00009112959,0.00003492087],"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":[0.00003832604,0.00002839346,0.0002054988,0.00002122708,0.000004312094,0.0000424545,0.00003542798,0.9541313,0.001928888,0.02344493,0.0003806496,0.01973859],"study_design_scores_gemma":[0.000004185461,0.000007780929,0.00002762921,0.000002227569,0.000001508641,0.00001002688,0.000005119499,0.9942405,0.0006648138,0.004808135,0.0002263149,0.000001763679],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04549211,0.0002025388,0.9512869,0.0001501006,0.00001966497,0.00003367017,0.00001905515,0.00009126892,0.002704856],"genre_scores_gemma":[0.8304845,0.0002702355,0.1670863,0.00004880461,0.00002145443,0.00008683868,0.00003267728,0.00003651861,0.001932517],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003002438,"threshold_uncertainty_score":0.006842017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03246042507695215,"score_gpt":0.2606391580047785,"score_spread":0.2281787329278263,"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."}}