{"id":"W4323065935","doi":"10.1109/twc.2023.3249222","title":"Secrecy-Capacity Bounds for Visible Light Communications With Signal-Dependent Noise","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Science Foundation of Jiangsu Province; Government of Jiangsu Province","keywords":"Secrecy; Computer science; Upper and lower bounds; Noise (video); Eavesdropping; Artificial noise; Topology (electrical circuits); Transmitter; Fading; Channel capacity; Physical layer; Mathematics; Telecommunications; Channel (broadcasting); Wireless; Computer network; Mathematical analysis; Computer security; Artificial intelligence; Combinatorics","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":[0.003216672,0.001881799,0.001092264,0.00199861,0.001169335,0.002344797,0.001322935,0.001026845,0.004522348],"category_scores_gemma":[0.01367235,0.0004899687,0.0009946352,0.001849148,0.003833416,0.004278357,0.002915632,0.002803092,0.001059431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003036986,"about_ca_system_score_gemma":0.001595814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002763944,"about_ca_topic_score_gemma":0.001749544,"domain_scores_codex":[0.9972735,0.0008196469,0.00008936738,0.0002971485,0.0009825504,0.0005376991],"domain_scores_gemma":[0.9870512,0.00971537,0.00076969,0.0007169566,0.001519611,0.0002271169],"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":[0.0001404488,0.00005304849,0.0005631916,0.0004065955,0.00005167558,0.0002105286,0.0002574353,0.591458,0.01077348,0.3803718,0.001950637,0.01376306],"study_design_scores_gemma":[0.000005618464,0.00002953871,0.0002718531,0.0001159039,0.00001992735,0.0001183726,0.00007716931,0.874403,0.006011675,0.1175167,0.001383151,0.00004697705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03281279,0.00600739,0.922652,0.0009531777,0.0001714216,0.00005545165,0.0003998173,0.0003077598,0.03664022],"genre_scores_gemma":[0.9442301,0.00623415,0.04257354,0.0003224125,0.0003469762,0.0001900874,0.0003964978,0.0002289708,0.00547717],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004522348,"threshold_uncertainty_score":0.022035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03945815041957503,"score_gpt":0.2647588681829558,"score_spread":0.2253007177633808,"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."}}