{"id":"W4400277529","doi":"10.1109/wcnc57260.2024.10570656","title":"Energy Efficient Design for Backscatter-Assisted Wireless Powered IRS-NOMA Networks","year":2024,"lang":"en","type":"article","venue":"","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Noma; Backscatter (email); Wireless; Computer science; Energy (signal processing); Energy harvesting; Telecommunications; Computer network; Telecommunications link; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005000134,0.0005997139,0.0004679051,0.0002527428,0.0003002039,0.0007328367,0.0007542274,0.0004032704,0.001261817],"category_scores_gemma":[0.001168834,0.0003302862,0.0002909847,0.0002903097,0.0004917971,0.0006132837,0.0006011526,0.0004254981,0.000356354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006300564,"about_ca_system_score_gemma":0.0005121985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006171745,"about_ca_topic_score_gemma":0.001356528,"domain_scores_codex":[0.9997136,0.0001127285,0.000008175028,0.00004258619,0.00008395917,0.0000388734],"domain_scores_gemma":[0.9996318,0.0001775185,0.0000726943,0.0000212034,0.00007843085,0.00001841509],"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":[0.00009676945,0.0000597391,0.0006434501,0.0001066049,0.00004072963,0.0001234622,0.0001041054,0.9077379,0.02197192,0.02285059,0.001250671,0.04501415],"study_design_scores_gemma":[0.000006223435,0.00006169327,0.00008232789,0.000005971541,0.000006973188,0.00003382012,0.0000195084,0.995372,0.001248727,0.002424778,0.0007333003,0.0000047071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03293626,0.0004981479,0.9600833,0.000179881,0.00004561253,0.00005017264,0.00002675223,0.0001062673,0.00607354],"genre_scores_gemma":[0.8776876,0.000715932,0.1179395,0.0001202569,0.00004843261,0.000150833,0.0000331379,0.0000362675,0.003268115],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001261817,"threshold_uncertainty_score":0.004571378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01541507916190675,"score_gpt":0.2164279748099208,"score_spread":0.201012895648014,"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."}}