{"id":"W6939202848","doi":"10.60692/rjewd-4p219","title":"Artificial Noise Injection–Based Secrecy Improvement for FSO Systems","year":2021,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Secrecy; Maximization; Artificial noise; Throughput; Noise (video); Communications system","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":[0.0001895487,0.0001602426,0.0002108915,0.0001833122,0.0001268314,0.0002512723,0.0001904931,0.0001560958,0.000008128224],"category_scores_gemma":[0.00004641759,0.0001559716,0.00007777997,0.0002711148,0.00002071265,0.0003597216,0.00004808879,0.0001106584,0.0002220782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002628739,"about_ca_system_score_gemma":0.00003846228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002398254,"about_ca_topic_score_gemma":2.999251e-7,"domain_scores_codex":[0.9988099,0.0000211858,0.0006543141,0.0001056372,0.0001831888,0.0002257766],"domain_scores_gemma":[0.9989345,0.0000213398,0.0001076793,0.0005963169,0.0002871532,0.00005300231],"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":[0.0002133235,0.00004462375,0.01221601,0.01567404,0.0007258317,0.00001126939,0.0305451,0.822239,0.002108895,0.06402221,0.002048803,0.05015088],"study_design_scores_gemma":[0.0006868221,0.00007924512,0.0008115018,0.0002205473,0.00002968591,0.00001491427,0.01982061,0.9043587,0.07164118,0.00001413411,0.001907972,0.0004147117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2752849,0.00002998304,0.7174504,0.00008036254,0.001182696,0.0007785838,0.0001817106,0.002434556,0.002576781],"genre_scores_gemma":[0.9976995,3.365741e-7,0.001534849,0.000033165,0.00005457481,0.0005491617,0.00006801076,0.0000187829,0.00004159901],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7224146,"threshold_uncertainty_score":0.6360337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03105284840552869,"score_gpt":0.2067138616196778,"score_spread":0.1756610132141491,"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."}}