{"id":"W3202975980","doi":"10.1002/ett.4715","title":"Performance analyses of TAS/Alamouti‐MRC NOMA in dual‐hop full‐duplex AF relaying networks","year":2022,"lang":"en","type":"article","venue":"Transactions on Emerging Telecommunications Technologies","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Computer science; Telecommunications link; Relay; Nakagami distribution; Base station; Diversity gain; Fading; Array gain; Maximal-ratio combining; Coding gain; MIMO; Topology (electrical circuits); Electronic engineering; Algorithm; Telecommunications; Channel (broadcasting); Antenna (radio); Antenna array; Decoding methods; Engineering; Electrical engineering; Power (physics); 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003531149,0.0003292706,0.0004449478,0.001646043,0.0008446299,0.00002032395,0.001874386,0.0002044536,0.0001073956],"category_scores_gemma":[0.00007180134,0.0003912936,0.0001413352,0.003378527,0.0003945534,0.0003196688,0.0002337268,0.00195455,0.000007992739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004097931,"about_ca_system_score_gemma":0.00003275518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004441888,"about_ca_topic_score_gemma":0.00009414915,"domain_scores_codex":[0.9979876,0.0001249643,0.0008447841,0.0003101141,0.0002632257,0.0004692561],"domain_scores_gemma":[0.9961993,0.0003858989,0.0002150994,0.003104411,0.00007180175,0.00002348912],"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":[0.00001434315,0.0001559814,0.0002504142,0.00002599057,0.00006696873,0.000001168066,0.0001918767,0.9023771,0.005233607,0.0004810693,0.00004621059,0.09115525],"study_design_scores_gemma":[0.0005727445,0.0002026418,0.001008987,0.0001084674,0.00004750383,0.00003060736,0.01230454,0.9479411,0.03384561,0.0004349141,0.002846007,0.0006569154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6645896,0.006861574,0.3125799,0.002369241,0.0002131871,0.0007780215,0.00006064064,0.01089094,0.001656845],"genre_scores_gemma":[0.9547021,0.01198018,0.03218037,0.00001167105,0.000002503069,0.0009813796,0.00003486859,0.00006751755,0.00003941488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2901125,"threshold_uncertainty_score":0.9998539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02938382941275759,"score_gpt":0.2813672935982752,"score_spread":0.2519834641855176,"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."}}