{"id":"W2883492073","doi":"10.1109/vtcspring.2018.8417694","title":"Physical Layer Security through Secure Channel Estimation","year":2018,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Equivocation; Physical layer; Secrecy; Computer science; Channel (broadcasting); Computer network; Secure channel; Secure coding; Wireless; Computer security; Transceiver; Transmission (telecommunications); Secure communication; Telecommunications; Encryption; Information security","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":[0.00006665767,0.0001276845,0.0001288667,0.00003488238,0.00006821685,0.00003332807,0.0002540966,0.00008282563,0.00008515357],"category_scores_gemma":[0.00001462703,0.0001254478,0.00004293437,0.0001774718,0.00006076213,0.0003379636,0.00007350662,0.0001745401,0.0002824793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004034403,"about_ca_system_score_gemma":0.000005947034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002603653,"about_ca_topic_score_gemma":0.00003384148,"domain_scores_codex":[0.9994218,0.00002268846,0.0001300229,0.0001208838,0.000135746,0.0001687982],"domain_scores_gemma":[0.9993548,0.00002828065,0.00001913959,0.0004844778,0.00007641334,0.0000368752],"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":[0.00003356744,0.000730924,0.0001168594,0.0004067316,0.0002463469,0.000006130799,0.08354884,0.004266397,0.03280998,0.5759843,0.2784262,0.02342379],"study_design_scores_gemma":[0.0001166377,0.00004132191,0.00006489897,0.00002230997,0.000007168833,0.000003693961,0.0001180474,0.7210472,0.2039769,0.063339,0.01103285,0.0002300144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4834183,0.0001291103,0.3485378,0.0009006726,0.0002555453,0.0004013385,0.00001474329,0.006180173,0.1601624],"genre_scores_gemma":[0.9887788,0.00003040295,0.01074967,0.0001343319,0.0001900866,0.00003468426,0.00001484584,0.00002941653,0.00003772668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7167808,"threshold_uncertainty_score":0.5115614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01927952931537977,"score_gpt":0.2854918192754845,"score_spread":0.2662122899601047,"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."}}