{"id":"W4396983026","doi":"10.1109/ncic61838.2023.00027","title":"Physical Layer Key Distribution Technology 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":"Key (lock); Computer science; Layer (electronics); Distribution (mathematics); Artificial intelligence; Materials science; Nanotechnology; Computer security; Mathematics","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":[0.0008792581,0.000600851,0.0004016584,0.0004907268,0.0003787411,0.0006805265,0.001155042,0.0006423341,0.001885858],"category_scores_gemma":[0.002113467,0.0002497335,0.0003142737,0.0005606995,0.0006533991,0.00250857,0.001317903,0.001449121,0.0006020789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000986706,"about_ca_system_score_gemma":0.0009000388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001700097,"about_ca_topic_score_gemma":0.001766762,"domain_scores_codex":[0.9995067,0.00009822554,0.00003496453,0.000109749,0.0001720327,0.00007831163],"domain_scores_gemma":[0.9993948,0.000191889,0.00007839469,0.0001344876,0.0001748269,0.00002567485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003501988,0.000185791,0.00143612,0.000203842,0.00008464415,0.000140993,0.0001803754,0.3557887,0.04849536,0.05705408,0.003636437,0.5324433],"study_design_scores_gemma":[0.00000938829,0.00005683373,0.0001350041,0.00000927387,0.00001130561,0.00003695621,0.00001317538,0.976261,0.0126358,0.009485709,0.001336416,0.000009105181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01636087,0.0004014529,0.9800273,0.0002255308,0.00004994388,0.0000384636,0.0000433498,0.0007817519,0.002071442],"genre_scores_gemma":[0.7830475,0.0004599518,0.2108759,0.0002592613,0.00004585203,0.0001074868,0.0001366236,0.00007073757,0.004996654],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001885858,"threshold_uncertainty_score":0.007159114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02409884763584303,"score_gpt":0.2711305400314893,"score_spread":0.2470316923956463,"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."}}