{"id":"W4321021465","doi":"10.1109/tcomm.2023.3245659","title":"Physical-Layer Authentication for Ambient Backscatter-Aided NOMA Symbiotic Systems","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":157,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; Université Laval","funders":"CHIST-ERA; Basic and Applied Basic Research Foundation of Guangdong Province; Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Authentication (law); Multiplexing; Noma; Physical layer; Computer network; Wireless; Backscatter (email); Telecommunications; Telecommunications link; Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008364815,0.0006775554,0.0004374342,0.0003873218,0.0006200815,0.0008133666,0.0004974337,0.0006570146,0.0009316311],"category_scores_gemma":[0.002690169,0.0001731356,0.0002986652,0.0003958783,0.0006241567,0.001064319,0.001053915,0.0004723404,0.0003556172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004361614,"about_ca_system_score_gemma":0.0004428506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005161352,"about_ca_topic_score_gemma":0.0007488835,"domain_scores_codex":[0.9992107,0.0003055978,0.00004691269,0.0001129853,0.0002178243,0.0001058665],"domain_scores_gemma":[0.9983359,0.0007119782,0.0003225625,0.0002543693,0.0003295628,0.00004570975],"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":[0.001026584,0.0002077005,0.01115258,0.0005759861,0.0002246954,0.001432471,0.0008823579,0.4530154,0.1760052,0.08788677,0.002837659,0.2647527],"study_design_scores_gemma":[0.00001591703,0.000258855,0.001056478,0.00002204634,0.00005252828,0.0005000615,0.00007715174,0.9774665,0.01362698,0.004874094,0.002019043,0.0000303427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1290674,0.0009564135,0.8658341,0.0001553017,0.00007620377,0.00006165316,0.00004385147,0.0003540837,0.003451079],"genre_scores_gemma":[0.9768245,0.0001911719,0.02226006,0.000047815,0.0000220921,0.00003253438,0.00001832464,0.000004046851,0.0005995218],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009316311,"threshold_uncertainty_score":0.004423738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04454929094561075,"score_gpt":0.2780191702150951,"score_spread":0.2334698792694844,"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."}}