{"id":"W4389576759","doi":"10.1109/ccpqt60491.2023.00044","title":"Physical Layer Security Performance Prediction Based on Deep Learning","year":2023,"lang":"en","type":"article","venue":"","topic":"Wireless Signal Modulation Classification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Eavesdropping; Computer science; Channel (broadcasting); Train; Physical layer; Computer network; Wireless; Information security; Layer (electronics); Computer security; Telecommunications","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":[0.0001877639,0.00007516213,0.00006467378,0.0001191821,0.0001467868,0.00007390192,0.0002232993,0.0000349405,0.00001868039],"category_scores_gemma":[0.00003236129,0.00006831209,0.0000327478,0.0006308398,0.00001436975,0.0004046874,0.00004399607,0.0001443618,0.0006413834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000043999,"about_ca_system_score_gemma":0.0000182183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002412145,"about_ca_topic_score_gemma":8.81504e-7,"domain_scores_codex":[0.9990824,0.00006018756,0.0001021674,0.0002704372,0.0003320597,0.0001527166],"domain_scores_gemma":[0.9994826,0.0001128327,0.00004357505,0.0002573682,0.00005700604,0.00004655979],"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":[0.00001536196,0.0001575022,0.02189445,0.00002968093,0.000006838734,0.000002479931,0.001011818,0.8505394,0.008194046,0.04375833,0.0007946039,0.0735955],"study_design_scores_gemma":[0.0001183896,0.00007725787,0.1055627,0.000007267584,0.000001002516,2.803944e-7,0.000008286213,0.888405,0.004920046,0.0004121482,0.0004236653,0.00006390818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.585518,6.068094e-7,0.4068398,0.0007842772,0.0001575516,0.00008963264,4.115397e-7,0.001044141,0.005565578],"genre_scores_gemma":[0.9986977,0.000001381916,0.0007402644,0.0001022083,0.0001022807,0.00002228281,0.0000121607,0.000006540572,0.0003152119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4131797,"threshold_uncertainty_score":0.8243901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02311425501844901,"score_gpt":0.2498686476668594,"score_spread":0.2267543926484104,"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."}}