{"id":"W4248010148","doi":"10.1109/glocom.2014.7037459","title":"Achievable rates for the fading half-duplex single relay selection network using buffer-aided relaying","year":2014,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Relay; Fading; Additive white Gaussian noise; Computer science; Computer network; Channel state information; Channel (broadcasting); Protocol (science); Buffer (optical fiber); Relay channel; Wireless; 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":[0.003563212,0.001460562,0.001218916,0.001269263,0.00093043,0.002240116,0.001487493,0.001060722,0.001406827],"category_scores_gemma":[0.0111932,0.0004148667,0.0005962648,0.001333397,0.001503367,0.002419507,0.001732547,0.00108306,0.0003533838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001670118,"about_ca_system_score_gemma":0.001121785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009666369,"about_ca_topic_score_gemma":0.0009190894,"domain_scores_codex":[0.9980233,0.0006672916,0.0001515451,0.0002271424,0.0005285461,0.0004021941],"domain_scores_gemma":[0.9859536,0.0108739,0.001090249,0.0006291573,0.001237894,0.0002151808],"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":[0.0006144604,0.0001023628,0.001195722,0.0005895544,0.0001193621,0.0005408647,0.0006798685,0.7149585,0.02932748,0.2009592,0.002088996,0.04882366],"study_design_scores_gemma":[0.00004323501,0.0002399865,0.000504957,0.00008709274,0.00008695233,0.0005771675,0.0001917507,0.9157061,0.02072084,0.06020913,0.001558605,0.00007409087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2395668,0.002499818,0.7377602,0.0006651743,0.0001036169,0.0001444408,0.0004920737,0.0005932647,0.01817464],"genre_scores_gemma":[0.9545918,0.001245035,0.04233102,0.00006965078,0.00004160804,0.0002090744,0.0001978226,0.00004027758,0.00127376],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003563212,"threshold_uncertainty_score":0.01884431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07779796268934176,"score_gpt":0.3135095121895407,"score_spread":0.235711549500199,"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."}}