{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000303554,0.0002494967,0.000295483,0.0001443293,0.0004590868,0.0004006009,0.00106585,0.000163386,0.0001485479],"category_scores_gemma":[0.0001076457,0.0002387788,0.0001401199,0.0005483975,0.00007331857,0.000663264,0.0000929399,0.0003571556,0.0001041575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004896083,"about_ca_system_score_gemma":0.0001485375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001746775,"about_ca_topic_score_gemma":0.0000193083,"domain_scores_codex":[0.9978047,0.0002548055,0.0004705365,0.0007314466,0.0004014453,0.0003370692],"domain_scores_gemma":[0.9973397,0.0001701846,0.0001356642,0.00188432,0.0002428907,0.0002272596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003163198,0.01051417,0.002721628,0.001842483,0.0008437952,0.0003035501,0.5256021,0.000006569496,0.008353179,0.2464657,0.004629963,0.1984005],"study_design_scores_gemma":[0.00678668,0.0007201551,0.009025244,0.0005133402,0.0001795949,0.0006110624,0.001209048,0.06143302,0.09385252,0.2826387,0.5408547,0.002175903],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07179476,0.0001167837,0.8843473,0.02210063,0.0007128606,0.01904078,0.00004767594,0.0008708828,0.0009682743],"genre_scores_gemma":[0.9893162,0.0000299078,0.003102542,0.0004884123,0.0000430789,0.006297034,0.00001071968,0.00001674603,0.0006954225],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9175214,"threshold_uncertainty_score":0.9737116,"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."}}