{"id":"W4387717425","doi":"10.1109/lwc.2023.3324981","title":"EsaNet: Environment Semantics Enabled Physical Layer Authentication","year":2023,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; European Commission; Queen's University; National Natural Science Foundation of China; Queen's University Belfast; National Science Foundation","keywords":"Computer science; Spoofing attack; Physical layer; Computer network; Wireless network; Authentication (law); Wireless; Wireless security; Computer security; Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002899335,0.0002777958,0.0002880338,0.0003089891,0.0003064912,0.00008959028,0.001988048,0.000110621,0.00002222333],"category_scores_gemma":[0.00001192691,0.0003251935,0.0001240197,0.0006389612,0.0002835326,0.0002577331,0.0003502395,0.0005092847,0.001101764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001787909,"about_ca_system_score_gemma":0.0000135456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002028077,"about_ca_topic_score_gemma":0.00001019116,"domain_scores_codex":[0.9983962,0.000187695,0.0004177501,0.0002495621,0.0003348406,0.0004139269],"domain_scores_gemma":[0.9954716,0.0003259056,0.00009198648,0.003967522,0.00003982753,0.0001031591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005194367,0.0002696732,0.0003609897,0.0001093401,0.0001777429,0.00000495457,0.004937604,0.01701221,0.9278305,0.008793534,0.02992327,0.01057496],"study_design_scores_gemma":[0.0004498388,0.00002055501,0.002596229,0.0001071,0.0000802089,0.000008471136,0.0002893928,0.8373848,0.08110281,0.000847451,0.07625832,0.0008548043],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666107,0.0001671078,0.01477083,0.01208438,0.0001821101,0.0005990531,0.00003862056,0.004248091,0.001299113],"genre_scores_gemma":[0.9931561,0.002101356,0.003480999,0.000340612,0.00007147501,0.0004256584,0.0002411239,0.0001060028,0.00007661364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8467277,"threshold_uncertainty_score":0.99992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02934541922318499,"score_gpt":0.2619509789833638,"score_spread":0.2326055597601788,"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."}}