{"id":"W1976283561","doi":"10.1109/glocom.2013.6831358","title":"Relay selection scheme with adaptive cyclic prefix for cooperative amplify-and-forward relay","year":2013,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Relay; Relay channel; Computer science; Cyclic prefix; Computer network; Node (physics); Throughput; Transmission (telecommunications); Link Access Procedure for Frame Relay; Overhead (engineering); Fading; Channel (broadcasting); Reliability (semiconductor); Signal-to-noise ratio (imaging); Orthogonal frequency-division multiplexing; Telecommunications; Engineering; Wireless","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":[0.0005969017,0.0006719813,0.000472911,0.0004908181,0.0006996705,0.0004063243,0.0011713,0.0004266833,0.0007238952],"category_scores_gemma":[0.001560916,0.0001905679,0.0003159663,0.0006548482,0.0005495289,0.0009605739,0.0007752717,0.0003915659,0.0002185769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005055984,"about_ca_system_score_gemma":0.0005615866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001363066,"about_ca_topic_score_gemma":0.001723059,"domain_scores_codex":[0.9993625,0.0002134103,0.00004742823,0.0001541041,0.0001408932,0.00008162425],"domain_scores_gemma":[0.9992563,0.0002850832,0.0001234632,0.0001200702,0.000173342,0.00004175797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00116542,0.0002406372,0.002599014,0.0003869319,0.0001898431,0.001697086,0.0009586504,0.2945284,0.2340989,0.06779245,0.004642803,0.3916999],"study_design_scores_gemma":[0.00009509368,0.0006556729,0.000710887,0.00002497661,0.0001355719,0.00142516,0.00007901675,0.9340466,0.04953732,0.008462385,0.004749945,0.000077395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1124569,0.001518644,0.8813241,0.0003031772,0.0001413372,0.000126628,0.00007156064,0.0006493002,0.003408336],"genre_scores_gemma":[0.9456337,0.0004173425,0.05282106,0.00006376133,0.0000410516,0.00006696509,0.00004058989,0.000008612896,0.0009068688],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001363066,"threshold_uncertainty_score":0.003668368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02795363805714444,"score_gpt":0.2560072769992263,"score_spread":0.2280536389420818,"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."}}