{"id":"W3036551334","doi":"10.1109/wcnc45663.2020.9120626","title":"Enhancing Physical Layer Security Using Underlay Full-Duplex Relay-Aided D2D Communications","year":2020,"lang":"en","type":"article","venue":"","topic":"Full-Duplex Wireless Communications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Underlay; Computer science; Computer network; Relay; Physical layer; Node (physics); Transmission (telecommunications); Cellular network; Throughput; Secrecy; Spectral efficiency; Signal-to-noise ratio (imaging); Wireless; Telecommunications; Engineering; Channel (broadcasting); Computer security","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001075066,0.0002848056,0.0003491702,0.00007189783,0.0003171854,0.0000891372,0.001189885,0.0001247126,0.0001605642],"category_scores_gemma":[0.00006222409,0.0003111486,0.0001514421,0.0006192731,0.0001330993,0.0003408276,0.0005469228,0.0007172094,0.000314283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001698822,"about_ca_system_score_gemma":0.00005250507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009951773,"about_ca_topic_score_gemma":0.0003350193,"domain_scores_codex":[0.9985421,0.0001244093,0.0004349115,0.0002721981,0.0002328164,0.000393613],"domain_scores_gemma":[0.9974346,0.000372781,0.00006330789,0.001789871,0.00009878894,0.0002406383],"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":[0.00000805421,0.0001262153,0.00008174958,0.00009181237,0.0001262162,0.000002317441,0.00559557,0.5639912,0.420765,0.007239429,0.001320035,0.0006524737],"study_design_scores_gemma":[0.0002836898,0.00002234975,0.0000474707,0.00003316563,0.00004271322,0.000006707922,0.0007885598,0.9796905,0.01505876,0.00002986861,0.00364525,0.0003509463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9554001,0.0003921578,0.03775635,0.002277343,0.00008867231,0.0002884893,0.00002048998,0.001382698,0.002393715],"genre_scores_gemma":[0.9691918,0.0001203036,0.02996724,0.0003625114,0.0001473816,0.00003559706,0.00005073438,0.00008891054,0.00003550192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4156994,"threshold_uncertainty_score":0.9999341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06648644951810795,"score_gpt":0.2891952002190961,"score_spread":0.2227087507009881,"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."}}