{"id":"W2099225340","doi":"10.1109/allerton.2008.4797712","title":"Cooperative strategies for the half-duplex Gaussian parallel relay channel: Simultaneous relaying versus successive relaying","year":2008,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Relay; Gaussian; Channel (broadcasting); Relay channel; Linear network coding; Topology (electrical circuits); Additive white Gaussian noise; Coding (social sciences)","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":[0.00160895,0.001124881,0.001007145,0.0005663413,0.0006054063,0.001362626,0.001242003,0.001356568,0.001077829],"category_scores_gemma":[0.003958658,0.0003696291,0.0006120653,0.0008113729,0.001995845,0.001680007,0.001400224,0.0007722416,0.0001778999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001093403,"about_ca_system_score_gemma":0.0008223989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001625676,"about_ca_topic_score_gemma":0.00105875,"domain_scores_codex":[0.9989914,0.0004697583,0.00003352602,0.0001544246,0.0002051334,0.0001456115],"domain_scores_gemma":[0.9963457,0.002735972,0.0003805777,0.0001728921,0.0002666557,0.0000982165],"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":[0.0001683883,0.00005711536,0.0004137408,0.0002424505,0.00007301154,0.0005308865,0.0003369631,0.8171995,0.009032677,0.1562902,0.000699249,0.01495575],"study_design_scores_gemma":[0.00002405147,0.00008257888,0.0000723926,0.00001104797,0.00002275055,0.0001185343,0.00006342414,0.9694318,0.001280321,0.02849766,0.0003815843,0.00001383966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09834702,0.0008003979,0.8950234,0.0003949337,0.00003211803,0.00006554252,0.0000459153,0.00005363626,0.005237083],"genre_scores_gemma":[0.9538667,0.0008564984,0.04293918,0.00009027264,0.00004015306,0.000133343,0.00003879191,0.00001491257,0.00202016],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001625676,"threshold_uncertainty_score":0.00850904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07764390085016679,"score_gpt":0.3097839497556198,"score_spread":0.232140048905453,"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."}}