{"id":"W3021108634","doi":"10.1109/access.2020.2991847","title":"Joint Relay Selection, Full-Duplex and Device-to-Device Transmission in Wireless Powered NOMA Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Computer science; Relay; Base station; Transmission (telecommunications); Energy harvesting; Computer network; Wireless; Efficient energy use; Context (archaeology); Noma; Enhanced Data Rates for GSM Evolution; Duplex (building); Energy (signal processing); Electronic engineering; Telecommunications link; Telecommunications; Electrical engineering; Engineering; Power (physics); Mathematics; 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":[],"consensus_categories":[],"category_scores_codex":[0.00008210186,0.0002136375,0.0002795403,0.0001463614,0.00008154869,0.00007760907,0.0005754865,0.0001804536,0.00002048461],"category_scores_gemma":[0.00003413519,0.0002256705,0.00003031621,0.00100884,0.00003581528,0.0004421039,0.0001130928,0.0004760162,0.00001238999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009688843,"about_ca_system_score_gemma":0.00001292644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003768938,"about_ca_topic_score_gemma":0.000145575,"domain_scores_codex":[0.9988876,0.00003550895,0.0003688412,0.0002947524,0.0001201453,0.0002931373],"domain_scores_gemma":[0.9993826,0.00007206445,0.00005278281,0.0003032244,0.00005587548,0.0001334331],"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":[0.00003291879,0.00001650532,0.001818549,0.00009135377,0.00001768204,0.000005214732,0.0003506097,0.8959088,0.03847312,0.00008267249,0.0004757377,0.06272686],"study_design_scores_gemma":[0.0005475277,0.0000589323,0.007944649,0.0001462443,0.000008591099,0.000007645985,0.0001283069,0.944204,0.04090399,0.00003796118,0.005598149,0.0004139439],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6865495,0.0009125056,0.3099982,0.001176316,0.00008088698,0.0002773367,0.00000186763,0.0009194055,0.0000840153],"genre_scores_gemma":[0.9945166,0.001122662,0.003769837,0.0004101511,0.0000447139,0.0000707744,0.000005564733,0.0000540641,0.000005633388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3079671,"threshold_uncertainty_score":0.9202574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03702369279444282,"score_gpt":0.2734030986587539,"score_spread":0.2363794058643111,"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."}}