{"id":"W3185215426","doi":"10.1109/infocomwkshps51825.2021.9484444","title":"Demonstrating Physical Layer Security Via Weighted Fractional Fourier Transform","year":2021,"lang":"en","type":"article","venue":"","topic":"Mathematical Analysis and Transform Methods","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"China Postdoctoral Science Foundation","keywords":"Computer science; Eavesdropping; Physical layer; PHY; Coding (social sciences); Computer network; Wireless; Cryptography; Fractional Fourier transform; Scheme (mathematics); Fourier transform; Algorithm; Telecommunications; Mathematics; Fourier analysis","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":[0.0006051972,0.0004654299,0.000258422,0.0003087399,0.0003643956,0.0006921092,0.0004067332,0.0008436225,0.002296013],"category_scores_gemma":[0.001260367,0.0001510501,0.0003335595,0.0002273881,0.001206122,0.001224419,0.00102926,0.001124175,0.0003721043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002991742,"about_ca_system_score_gemma":0.0003695384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004683761,"about_ca_topic_score_gemma":0.0002173243,"domain_scores_codex":[0.999678,0.00008424436,0.00001279216,0.00003548567,0.0001481688,0.00004141422],"domain_scores_gemma":[0.9996374,0.0001879632,0.00003724799,0.00007794684,0.00004661028,0.00001284825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002818773,0.00007055506,0.0006263994,0.0001360617,0.00003213577,0.0006505601,0.0003326712,0.05784238,0.2570003,0.6076413,0.001418061,0.0739677],"study_design_scores_gemma":[0.00004847122,0.000197026,0.0004024317,0.0000401374,0.00001834532,0.0007353049,0.00008394306,0.7528414,0.1192547,0.1167433,0.009589182,0.00004585531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03813783,0.0002267415,0.9490742,0.0003643954,0.00008782298,0.0000371176,0.00002770996,0.0002896419,0.01175451],"genre_scores_gemma":[0.7479514,0.0004877148,0.2470493,0.0001843518,0.00005348507,0.0000547969,0.00003745037,0.0000471718,0.004134418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002296013,"threshold_uncertainty_score":0.007680893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04818891870227859,"score_gpt":0.3588181897805463,"score_spread":0.3106292710782677,"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."}}