{"id":"W2168557634","doi":"10.1109/acssc.2009.5470114","title":"Spectrum efficient cooperative relaying based on outage-multiplexing tradeoff analysis","year":2009,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Relay; Multiplexing; Relay channel; Computer network; Computer science; Outage probability; Hop (telecommunications); Power (physics); Topology (electrical circuits); Fading; Telecommunications; Engineering; Electrical engineering; Channel (broadcasting)","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":[0.00110012,0.0009297892,0.0007804445,0.0005932359,0.0003922453,0.0009142334,0.000780655,0.0005819788,0.001042777],"category_scores_gemma":[0.003183292,0.0002866917,0.0003394935,0.0006622987,0.0006122975,0.001167165,0.0007863835,0.0004216774,0.0002360836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008448891,"about_ca_system_score_gemma":0.0005905159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006200431,"about_ca_topic_score_gemma":0.001084801,"domain_scores_codex":[0.999202,0.0002564488,0.00003557742,0.00007570475,0.0003470382,0.00008335993],"domain_scores_gemma":[0.9987648,0.0007848272,0.0001372088,0.0001011338,0.0001844604,0.00002767297],"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":[0.00009727221,0.00007975834,0.0007772169,0.0001869249,0.00007434763,0.0005156191,0.0003107446,0.6618736,0.02343725,0.2053272,0.001657367,0.1056626],"study_design_scores_gemma":[0.000007010923,0.00005921724,0.0001059956,0.000007827137,0.00001379236,0.0002412668,0.00002080031,0.979008,0.001893357,0.0180439,0.0005855045,0.00001339789],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02762488,0.0006535407,0.9649752,0.000150673,0.00002532424,0.00003780425,0.00003821144,0.0001408212,0.006353472],"genre_scores_gemma":[0.9367967,0.0006408488,0.06083498,0.00005843596,0.00004358092,0.00008992689,0.00003223624,0.00001708458,0.001486289],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00110012,"threshold_uncertainty_score":0.006130159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03125095831270037,"score_gpt":0.2810428184978102,"score_spread":0.2497918601851098,"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."}}