{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001371585,0.0004703749,0.001056778,0.0003751325,0.0004840486,0.000946007,0.001164497,0.0006612212,0.001649709],"category_scores_gemma":[0.00345004,0.0004044629,0.0002500871,0.0006498218,0.0006353662,0.001028345,0.0008805093,0.0005917568,0.0002502247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006583598,"about_ca_system_score_gemma":0.0006589715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001067933,"about_ca_topic_score_gemma":0.001656949,"domain_scores_codex":[0.9993737,0.0002667905,0.00002379976,0.00009939975,0.0001180567,0.0001182081],"domain_scores_gemma":[0.9982089,0.001281071,0.0001220593,0.0001405162,0.0001767584,0.00007073838],"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":[0.0003040662,0.0001103312,0.0003267017,0.00004967712,0.00005204276,0.00009920366,0.00006580824,0.931274,0.004867611,0.01864463,0.001251431,0.04295442],"study_design_scores_gemma":[0.00001575284,0.00002554063,0.00005175746,0.000001276699,0.000005854943,0.00001643158,0.000007514927,0.9959601,0.0003077709,0.003422685,0.0001820841,0.000003288582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08654236,0.000767773,0.9071948,0.0003154802,0.000116572,0.00005686437,0.00005063306,0.0001801586,0.004775447],"genre_scores_gemma":[0.9625078,0.0001813271,0.03517834,0.0000453842,0.00005303421,0.0000690277,0.00001891,0.00002276913,0.00192344],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001649709,"threshold_uncertainty_score":0.007253766,"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."}}