{"id":"W2108739512","doi":"10.1109/glocom.2008.ecp.356","title":"Secret Key Generation and Agreement in UWB Communication Channels","year":2008,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Key generation; Shared secret; Low-density parity-check code; Key (lock); Transceiver; Computer network; Channel (broadcasting); Public-key cryptography; Decoding methods; Computer security; Wireless; Algorithm; Telecommunications; Encryption","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001364601,0.00006992724,0.000082622,0.0000869825,0.00005380077,0.00001593551,0.0001443173,0.00005236743,0.00004415107],"category_scores_gemma":[0.000006970318,0.00007698907,0.000009954767,0.0000993568,0.00003050511,0.0001576924,0.00006212899,0.0001064934,0.00000991855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004707656,"about_ca_system_score_gemma":0.000004424628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009560322,"about_ca_topic_score_gemma":0.0002595523,"domain_scores_codex":[0.9995672,0.00004099552,0.0001655701,0.00006965767,0.00007317906,0.00008342569],"domain_scores_gemma":[0.9995058,0.00002115978,0.00001535821,0.000408768,0.00002346827,0.00002541226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000367457,0.0008575801,0.05575759,0.0004439469,0.0002265284,0.00003065551,0.101998,0.05777165,0.3005415,0.2456605,0.1334041,0.1032711],"study_design_scores_gemma":[0.0006804282,0.00004376087,0.01469794,0.00006432983,0.000004975793,0.00003049786,0.0002552177,0.8540799,0.1029399,0.001275316,0.02541719,0.0005105115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9730421,0.001202349,0.01115167,0.0004417579,0.00002953825,0.0002218852,0.00000134867,0.0004155923,0.01349371],"genre_scores_gemma":[0.9849728,0.004319687,0.01043867,0.00007075891,0.00001450138,0.00005296913,0.000036611,0.00001086622,0.00008312498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7963082,"threshold_uncertainty_score":0.3139523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03540755572473176,"score_gpt":0.2360003153422738,"score_spread":0.2005927596175421,"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."}}