{"id":"W2124288692","doi":"10.1109/acsac.2008.23","title":"PAS: Predicate-Based Authentication Services Against Powerful Passive Adversaries","year":2008,"lang":"en","type":"article","venue":"","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Predicate (mathematical logic); Authentication (law); Scheme (mathematics); Authentication protocol; Computer security; Data Authentication Algorithm; Message authentication code; Access control; Computer network; Cryptography","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":[0.002193727,0.0006426855,0.0008353652,0.0007543309,0.001327991,0.00145394,0.001411985,0.001174154,0.002927671],"category_scores_gemma":[0.004749787,0.0002796065,0.000571225,0.0006722432,0.001940052,0.004661449,0.002505261,0.001541534,0.00169601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005353398,"about_ca_system_score_gemma":0.001317556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004747361,"about_ca_topic_score_gemma":0.0002312989,"domain_scores_codex":[0.9978447,0.0006292861,0.0001423614,0.00020733,0.0008880266,0.0002882703],"domain_scores_gemma":[0.9956629,0.001302394,0.0007254914,0.001513247,0.0005527128,0.0002433487],"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":[0.002954833,0.0004935841,0.003502381,0.000690838,0.0001890033,0.001363647,0.001474196,0.05924464,0.1894255,0.4615861,0.01316104,0.2659142],"study_design_scores_gemma":[0.0002697276,0.001083135,0.001150882,0.00005738815,0.0001185692,0.002008279,0.0002147311,0.730576,0.1274231,0.09808365,0.03889446,0.0001200511],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03281391,0.0001676372,0.9603863,0.0003000158,0.00008632771,0.0001477129,0.00007259309,0.002902741,0.003122711],"genre_scores_gemma":[0.8983008,0.0002110368,0.09776295,0.0001225875,0.0001336065,0.0001415248,0.0001764417,0.00008743773,0.003063512],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002927671,"threshold_uncertainty_score":0.01160169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01415974516087251,"score_gpt":0.2154222687718187,"score_spread":0.2012625236109462,"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."}}