{"id":"W2740309844","doi":"","title":"Dynamic Distributed Resource Allocation in Relay Assisted OFDMA Networks","year":2012,"lang":"en","type":"article","venue":"International Conference on Wireless and Mobile Communications","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Relay; Computer science; Resource allocation; Computer network; Resource management (computing); Frequency-division multiple access; Orthogonal frequency-division multiplexing; Resource (disambiguation); Distributed computing","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":[0.0001476488,0.0001604913,0.0001537933,0.0001315285,0.0001010533,0.00005259813,0.000459304,0.0001144047,0.0000425557],"category_scores_gemma":[0.00001690108,0.0001767551,0.00002837062,0.0002327841,0.00009160127,0.0002852143,0.0001281138,0.0003302281,0.000006903334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001808407,"about_ca_system_score_gemma":0.00001289948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001331489,"about_ca_topic_score_gemma":0.00009089484,"domain_scores_codex":[0.9990938,0.00007253558,0.000315453,0.0001490089,0.0001382482,0.0002309403],"domain_scores_gemma":[0.9990705,0.0001429444,0.00008071964,0.000518564,0.0001022255,0.00008510534],"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":[0.00002166729,0.0002166882,0.004180139,0.00001165246,0.00004866836,5.469704e-7,0.0003661265,0.8759359,0.0008119234,0.03918491,0.0001847886,0.07903696],"study_design_scores_gemma":[0.0002851866,0.0000135279,0.01316879,0.0001367355,0.000008125958,0.000003481607,0.0001836678,0.9804791,0.00003407572,0.00007518853,0.005427823,0.0001842904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.504768,0.005780509,0.468966,0.002808414,0.001047131,0.001305995,0.000248824,0.0008555613,0.01421957],"genre_scores_gemma":[0.9885919,0.00822246,0.001609484,0.00004756675,0.00003371606,0.0004649136,0.0009290731,0.00002964492,0.00007123122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.483824,"threshold_uncertainty_score":0.7207864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0236976667273832,"score_gpt":0.2825100827654992,"score_spread":0.2588124160381159,"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."}}