{"id":"W2965941389","doi":"10.1002/dac.4006","title":"Spectral efficiency evaluation of full‐duplex mode of communications based on SLNR approach","year":2019,"lang":"en","type":"article","venue":"International Journal of Communication Systems","topic":"Full-Duplex Wireless Communications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Telecommunications link; Precoding; Spectral efficiency; Computer science; Base station; Rician fading; Electronic engineering; Telecommunications; Channel (broadcasting); MIMO; Fading; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.002005971,0.0001854009,0.0004468168,0.0006669167,0.00005458887,0.00004927389,0.003769836,0.0001136185,0.00005110714],"category_scores_gemma":[0.000203285,0.0001854002,0.0002192918,0.0003873786,0.0001564402,0.0003076053,0.0001694322,0.0004549534,0.0000184931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003934084,"about_ca_system_score_gemma":0.0002205795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006526428,"about_ca_topic_score_gemma":0.00001181034,"domain_scores_codex":[0.9959768,0.0006728473,0.001516973,0.0001122497,0.001577717,0.0001433893],"domain_scores_gemma":[0.9929205,0.0006891601,0.001163814,0.002451508,0.002709865,0.00006518742],"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":[0.00005014114,0.0003695202,0.0007240077,0.00003185898,0.0001736112,9.995941e-8,0.0005797615,0.9777676,0.00996891,0.009388639,0.0001231283,0.00082276],"study_design_scores_gemma":[0.001286631,0.00009818976,0.001501666,0.0004386179,0.00006302496,0.0000216129,0.0005528069,0.9936664,0.001357101,0.00004135687,0.0008305347,0.0001420959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9522731,0.004036003,0.02377275,0.0005596172,0.0008362248,0.000804477,0.00008413472,0.00006738638,0.01756629],"genre_scores_gemma":[0.9907851,0.0005335819,0.008427603,0.00001429177,0.00004450594,0.00003626075,0.0001025827,0.00003617289,0.00001991787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03851196,"threshold_uncertainty_score":0.75604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0403510982066082,"score_gpt":0.3136831533712388,"score_spread":0.2733320551646306,"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."}}