{"id":"W2507577160","doi":"10.1109/lcomm.2016.2606503","title":"Context-Aware Relay Selection in Buffer-Aided Wireless Relay Networks","year":2016,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of Tabriz; Iran's National Elites Foundation","keywords":"Relay; Computer science; Computer network; Relay channel; Network packet; Scheduling (production processes); Queue; Wireless network; Link Access Procedure for Frame Relay; Wireless; Telecommunications; Mathematical optimization","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001228934,0.0007958823,0.0009329088,0.0005252478,0.0004970443,0.000804856,0.001327159,0.0007188986,0.0006355201],"category_scores_gemma":[0.00460276,0.0003451346,0.0003419564,0.0005395732,0.0007132316,0.001650687,0.0008252792,0.00046605,0.0001307869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005433596,"about_ca_system_score_gemma":0.0004742585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00113018,"about_ca_topic_score_gemma":0.001083438,"domain_scores_codex":[0.9993873,0.0003036517,0.00002693328,0.00009348382,0.00008485426,0.0001038767],"domain_scores_gemma":[0.9977717,0.001712464,0.0002137493,0.00009196829,0.0001387631,0.00007128752],"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":[0.0003057018,0.00007167349,0.001056408,0.0001475078,0.00006688137,0.0004049806,0.0003193603,0.9332667,0.01259771,0.02281859,0.000482083,0.02846234],"study_design_scores_gemma":[0.00001831952,0.00009895047,0.0001386083,0.000006661183,0.00002248799,0.00007334338,0.00004571112,0.9944147,0.002051881,0.002844167,0.0002741336,0.00001100124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2095489,0.001897377,0.7860835,0.000205865,0.00006616948,0.00007799385,0.00004540469,0.0001760229,0.001898688],"genre_scores_gemma":[0.97346,0.0004200659,0.02548336,0.00003003746,0.00002253958,0.00003976335,0.0000142237,0.0000110181,0.0005190723],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001327159,"threshold_uncertainty_score":0.00649929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03764916306932005,"score_gpt":0.2745392827465888,"score_spread":0.2368901196772688,"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."}}