{"id":"W4379805033","doi":"10.1109/access.2023.3284317","title":"Self-Sustainable Multi-IRS-Aided Wireless Powered Hybrid TDMA-NOMA System","year":2023,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"H2020 Marie Skłodowska-Curie Actions; Engineering and Physical Sciences Research Council; Horizon 2020 Framework Programme; University of York","keywords":"Time division multiple access; Computer science; Quality of service; Computer network; Base station; Wireless; Spectral efficiency; Telecommunications; Channel (broadcasting)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000244285,0.0003608966,0.0004540808,0.0001979549,0.0003393714,0.0006188886,0.0007374043,0.0003913991,0.0005983855],"category_scores_gemma":[0.000358772,0.0001735647,0.0003216484,0.0003134532,0.0002942179,0.0005171916,0.0006580637,0.0003304768,0.0002772025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002419967,"about_ca_system_score_gemma":0.0004647931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007577568,"about_ca_topic_score_gemma":0.001098152,"domain_scores_codex":[0.9997358,0.00006468223,0.00001436464,0.00006981036,0.00007923643,0.00003604183],"domain_scores_gemma":[0.9998191,0.00005110667,0.00004013223,0.00002936338,0.00004547902,0.000014706],"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":[0.0003312521,0.0001197024,0.002904442,0.0002862342,0.0001886387,0.0009034666,0.0003300296,0.6878511,0.1290918,0.02734785,0.002588036,0.1480576],"study_design_scores_gemma":[0.00001445496,0.0001128072,0.0003700303,0.000006337028,0.00002586653,0.00021118,0.00003944867,0.9901785,0.004791974,0.00214369,0.00209071,0.00001504485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1051346,0.0006129288,0.8851029,0.0001651936,0.00009883691,0.00004702252,0.00006237015,0.0005264753,0.008249735],"genre_scores_gemma":[0.9468148,0.000250579,0.04910231,0.0000754498,0.00004052267,0.00006169883,0.00004789509,0.00001194773,0.003594755],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007577568,"threshold_uncertainty_score":0.002001762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02382791611703206,"score_gpt":0.2747170641737613,"score_spread":0.2508891480567292,"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."}}