{"id":"W2158119522","doi":"10.1109/glocom.2008.ecp.891","title":"An Efficient Privacy-Preserving Scheme for Wireless Link Layer Security","year":2008,"lang":"en","type":"article","venue":"","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Scheme (mathematics); Computer network; Link (geometry); Wireless; Link layer; Layer (electronics); Information privacy; Computer security; Telecommunications; Mathematics","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":[0.0004178152,0.0001673604,0.000230314,0.00008827971,0.0002813595,0.0001414642,0.001667322,0.00008564302,0.00005542014],"category_scores_gemma":[0.0000490198,0.0001391677,0.0001717764,0.0002628516,0.00003554015,0.0002914615,0.0003914674,0.000152972,0.00003351695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003291864,"about_ca_system_score_gemma":0.00005478278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000267844,"about_ca_topic_score_gemma":0.00003437126,"domain_scores_codex":[0.9983695,0.00005011994,0.0003134054,0.0005395982,0.0003167238,0.0004106855],"domain_scores_gemma":[0.9989187,0.00008885015,0.00008962362,0.0005583712,0.0002029183,0.0001416116],"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":[0.00002223906,0.0005696428,0.001006942,0.00006346963,0.0001239965,0.00004690354,0.01418459,0.0280438,0.001603466,0.9417044,0.006643758,0.005986781],"study_design_scores_gemma":[0.0002466247,0.0000666245,0.0001688552,0.00001277164,0.000005220349,0.00001256823,0.00005448564,0.9956176,0.00179905,0.00005300318,0.001760004,0.0002032394],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.44404,0.000025102,0.5545114,0.0003590323,0.0001198709,0.000107954,7.244681e-7,0.0001695898,0.0006662934],"genre_scores_gemma":[0.9468873,0.000002915603,0.05222507,0.0003239872,0.0002192853,0.00001362663,0.000004781419,0.0000119165,0.0003111199],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9675738,"threshold_uncertainty_score":0.5675095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02637205226072286,"score_gpt":0.2692692435778433,"score_spread":0.2428971913171204,"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."}}