{"id":"W2131093212","doi":"10.1109/glocom.2010.5683999","title":"Time Correlation Analysis of Secret Key Generation via UWB Channels","year":2010,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Key (lock); Computer science; Key generation; Channel (broadcasting); Spatial correlation; Secrecy; Wireless; Characterization (materials science); Algorithm; Cryptography; Computer network; Telecommunications; Computer security; 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":[0.001085255,0.0003829262,0.0004117317,0.000591506,0.0002600595,0.0005574785,0.000430795,0.0004159255,0.00106724],"category_scores_gemma":[0.004544796,0.0002362989,0.000314363,0.0005619523,0.0008966932,0.001153497,0.0005010997,0.0007880477,0.0001471144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006501141,"about_ca_system_score_gemma":0.0005867497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001183022,"about_ca_topic_score_gemma":0.0006970177,"domain_scores_codex":[0.9994017,0.0001800929,0.00001712718,0.00006505642,0.0002428741,0.0000930701],"domain_scores_gemma":[0.9963134,0.002668718,0.0004694625,0.0002077022,0.0002829613,0.00005782496],"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":[0.000207777,0.00003835725,0.002156655,0.00008393492,0.00005054439,0.0002738764,0.0001181224,0.8904214,0.01492853,0.07580844,0.00049621,0.01541619],"study_design_scores_gemma":[0.000001874819,0.000009495226,0.000310082,0.000002796785,0.000003338361,0.00002544046,0.000007866281,0.9945776,0.001567104,0.003409706,0.00007889258,0.000005791846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2767325,0.0004882542,0.7173695,0.0002582049,0.00002960704,0.0000277336,0.0001459222,0.0002539844,0.004694355],"genre_scores_gemma":[0.9862103,0.0003569577,0.01207716,0.00002773072,0.000026108,0.00002202317,0.0000828421,0.00002757355,0.001169359],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001183022,"threshold_uncertainty_score":0.00573945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009888231358007609,"score_gpt":0.2261635257363186,"score_spread":0.216275294378311,"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."}}