{"id":"W4327767981","doi":"10.1109/ccnc51644.2023.10060251","title":"Design of Artificial Noise for Physical Layer Security in Visible Light Systems With Clipping","year":2023,"lang":"en","type":"article","venue":"","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Clipping (morphology); Artificial noise; Distortion (music); Visible light communication; Computer science; Context (archaeology); Physical layer; Noise (video); Electronic engineering; Telecommunications; Light-emitting diode; Optics; Wireless; Artificial intelligence; Engineering; Image (mathematics); Bandwidth (computing); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001460452,0.00007929102,0.0001828797,0.000126944,0.00001869797,0.0000167574,0.0001857963,0.00006244286,0.000001780794],"category_scores_gemma":[0.0000410054,0.00006553924,0.00002116219,0.000472495,0.00002762464,0.00007141594,0.00004393886,0.0001025351,0.00002053552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003014163,"about_ca_system_score_gemma":0.000009311713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007766787,"about_ca_topic_score_gemma":0.00001108349,"domain_scores_codex":[0.9994617,0.00001578798,0.0001770098,0.00009292961,0.00008376282,0.0001688541],"domain_scores_gemma":[0.9993944,0.0002421001,0.00001907808,0.0002926869,0.00003481339,0.00001696299],"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":[0.0000795286,0.0001595722,0.0002336606,0.0005584183,0.00006160498,0.000003150414,0.001043946,0.7731508,0.1363934,0.08307701,0.0008415494,0.004397403],"study_design_scores_gemma":[0.0001290097,0.00006051598,0.00006275596,0.00005456534,0.000003137502,2.354521e-7,0.0004316591,0.8879161,0.1098374,0.001312288,0.0001018463,0.00009039418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.807455,0.0001229851,0.1874136,0.0003299662,0.00009104925,0.000834885,0.000005920469,0.002105146,0.001641434],"genre_scores_gemma":[0.9968768,0.00002558993,0.002905482,0.000001880408,0.00001503985,0.0001347556,0.00000231134,0.00001893545,0.00001915063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1894219,"threshold_uncertainty_score":0.2672612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03617872276815838,"score_gpt":0.2660660236396676,"score_spread":0.2298873008715093,"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."}}