{"id":"W1640956619","doi":"10.1109/isit.2015.7282635","title":"Gaussian wiretap channel with shared keys between transmitter and helpers","year":2015,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Transmitter; Computer science; Converse; Shared secret; Key generation; Key (lock); Artificial noise; Channel (broadcasting); Transmission (telecommunications); Topology (electrical circuits); Secure communication; Telecommunications; Gaussian; Computer network; Mathematics; Encryption; Computer security; Combinatorics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00231554,0.001712181,0.001332261,0.0008434433,0.0009220817,0.001554878,0.001392645,0.001614551,0.002564813],"category_scores_gemma":[0.01191703,0.0006941596,0.0006386209,0.001410723,0.004093338,0.00347867,0.002652156,0.002259844,0.0005907265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001879978,"about_ca_system_score_gemma":0.001337227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00291258,"about_ca_topic_score_gemma":0.001767765,"domain_scores_codex":[0.997973,0.0007472308,0.00005493488,0.0002374435,0.0003789802,0.0006082726],"domain_scores_gemma":[0.9870077,0.009401042,0.001614574,0.0007613438,0.0008484151,0.0003668794],"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":[0.0006683612,0.00006939518,0.00127123,0.0002749625,0.00007790057,0.001249314,0.0005202729,0.3995105,0.008351309,0.5773026,0.001972037,0.008732142],"study_design_scores_gemma":[0.0001048805,0.0002589198,0.0003080614,0.00004430948,0.0000457871,0.0003441136,0.0001659418,0.8811406,0.003268914,0.1129173,0.001332835,0.0000684382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.196041,0.001134943,0.7858129,0.001294121,0.0001077921,0.0001141094,0.0004323292,0.0001969724,0.01486581],"genre_scores_gemma":[0.9725747,0.0009336595,0.02092269,0.0001080591,0.00008446706,0.0001827829,0.00009786463,0.00002534442,0.00507041],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00291258,"threshold_uncertainty_score":0.01364022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03020335059799408,"score_gpt":0.2269589610485648,"score_spread":0.1967556104505707,"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."}}