{"id":"W3198384297","doi":"10.1145/3464690","title":"A Lightweight Privacy-Aware Continuous Authentication Protocol-PACA","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Privacy and Security","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Calgary","funders":"National Science Foundation","keywords":"Computer science; Biometrics; Authentication (law); Computer security; Protocol (science); Password; Authentication protocol","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":[0.001716051,0.0007565035,0.0006942536,0.0009082832,0.001403587,0.00221504,0.002319581,0.001871265,0.004319646],"category_scores_gemma":[0.004044215,0.0005261385,0.0009694974,0.0009535585,0.001571637,0.005580841,0.004720564,0.003229788,0.002541717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005907141,"about_ca_system_score_gemma":0.002290423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005727125,"about_ca_topic_score_gemma":0.0003529174,"domain_scores_codex":[0.9969267,0.0006470877,0.0003225929,0.0005779712,0.001230769,0.0002949835],"domain_scores_gemma":[0.9973807,0.0004664072,0.0003024303,0.001157375,0.0004966606,0.0001963881],"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":[0.001207326,0.0004777109,0.001707391,0.001093808,0.0001571353,0.002549034,0.001351878,0.02380466,0.2116556,0.4361065,0.01950026,0.3003888],"study_design_scores_gemma":[0.0002707277,0.001225136,0.001356241,0.0002307868,0.000216971,0.006019418,0.0003161119,0.5361134,0.1597449,0.09417062,0.199965,0.0003707556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01061967,0.0004656804,0.9768447,0.0004306613,0.0002490205,0.0005237553,0.0001559474,0.004031254,0.006679371],"genre_scores_gemma":[0.5616222,0.0009993295,0.4141517,0.0006972693,0.0003468662,0.001691903,0.0007241504,0.0004101999,0.01935632],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004319646,"threshold_uncertainty_score":0.01445061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02026169609604768,"score_gpt":0.276618845130516,"score_spread":0.2563571490344683,"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."}}