{"id":"W2980109842","doi":"10.1109/usnc-ursi.2019.8861963","title":"Performance analysis of full-duplex relaying over Rayleigh-Rician fading channels","year":2019,"lang":"en","type":"article","venue":"","topic":"Full-Duplex Wireless Communications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Rician fading; Rayleigh fading; Relay; Computer science; Outage probability; Fading; Bit error rate; Electronic engineering; Fading distribution; Computer network; Telecommunications; Engineering; Decoding methods; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001626118,0.0001713107,0.0003784552,0.0005423931,0.00006498639,0.0000248333,0.0004238245,0.00009404554,0.001079258],"category_scores_gemma":[0.00001558413,0.0001720291,0.0001632611,0.001530053,0.00002639997,0.0002761881,0.00009807615,0.0001949624,0.0001664346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008719658,"about_ca_system_score_gemma":0.00001022778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005563737,"about_ca_topic_score_gemma":0.00004024094,"domain_scores_codex":[0.9989349,0.00002076139,0.000383041,0.0001773641,0.0002019394,0.0002819537],"domain_scores_gemma":[0.9988117,0.0001296544,0.0000697362,0.0008710996,0.00005855842,0.00005928995],"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":[0.000003385231,0.00001366415,0.0177544,0.00005219484,0.0004391614,2.048897e-7,0.0005038672,0.9428912,0.036935,0.0005001856,0.00008939528,0.0008173718],"study_design_scores_gemma":[0.0001780873,0.00001880098,0.02821426,0.00003305485,0.0001671403,8.923586e-7,0.0001367228,0.9672402,0.003167991,3.867166e-7,0.0006396596,0.000202798],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882579,0.0001924963,0.001442248,0.00002725553,0.0001905809,0.0001474196,0.000006948784,0.0002686161,0.009466481],"genre_scores_gemma":[0.9968984,0.0001734837,0.001946331,0.00002794472,0.00002311253,0.00001616143,0.00003221965,0.00003738483,0.0008449221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03376701,"threshold_uncertainty_score":0.9998339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.011370848240944,"score_gpt":0.2176140001748411,"score_spread":0.2062431519338971,"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."}}