{"id":"W2949201432","doi":"10.3390/electronics8060695","title":"PEP Analysis of AF Relay NOMA Systems Employing Order Statistics of Cascaded Channels","year":2019,"lang":"en","type":"article","venue":"Electronics","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Khalifa University of Science, Technology and Research; National Natural Science Foundation of China","keywords":"Noma; Relay; Pairwise error probability; Computer science; Interference (communication); Monte Carlo method; Higher-order statistics; Wireless; Bessel function; Channel (broadcasting); Single antenna interference cancellation; Pairwise comparison; Power (physics); Expression (computer science); Topology (electrical circuits); Electronic engineering; Algorithm; Mathematics; Fading; Telecommunications; Statistics; Engineering; Physics; Telecommunications link; Signal processing; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0001102039,0.0001234061,0.0004121112,0.0003137964,0.00001984053,0.000007424328,0.0003466585,0.0001110575,0.0000189755],"category_scores_gemma":[0.00005464618,0.0001314244,0.0000542083,0.001167151,0.00003536938,0.0000701859,0.0000580761,0.0002404596,0.000008113298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001213628,"about_ca_system_score_gemma":0.0000322436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001167682,"about_ca_topic_score_gemma":0.0000297544,"domain_scores_codex":[0.9990774,0.00002399695,0.0003742967,0.0001194814,0.0001560444,0.0002487964],"domain_scores_gemma":[0.9988257,0.0001518933,0.0001517744,0.0007069697,0.0001453877,0.0000183285],"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":[0.000004116398,0.00001495989,0.001042816,0.0001175052,0.0005749243,3.701703e-7,0.0001630598,0.9686069,0.0120004,0.01536658,0.00005434925,0.002054013],"study_design_scores_gemma":[0.0003166636,0.0001302743,0.0006005627,0.00005114231,0.0002546965,0.000002176055,0.0003884868,0.9404922,0.05347997,0.0004044051,0.003579162,0.0003002935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7016452,0.01495519,0.2822952,0.00001835491,0.0001373421,0.0002428752,0.00005696403,0.0003629473,0.0002859058],"genre_scores_gemma":[0.9911957,0.002062434,0.006534703,0.000002069847,0.000004553743,0.00001509744,0.00003711015,0.00003221635,0.0001161617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2895505,"threshold_uncertainty_score":0.5359331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008758813332890511,"score_gpt":0.2337715543785304,"score_spread":0.2250127410456399,"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."}}