{"id":"W1977851074","doi":"10.1108/09685220210446579","title":"Information flow analysis on role‐based access control model","year":2002,"lang":"en","type":"article","venue":"Information Management & Computer Security","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Information flow; Access control; Role-based access control; Set (abstract data type); Information security; Flow (mathematics); Information system; Control (management); Order (exchange); Distributed computing; Computer security; Artificial intelligence; Mathematics; Programming language; Engineering","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0005532151,0.0002945493,0.0002995309,0.001332405,0.0003729318,0.002007175,0.001892994,0.0001062662,0.00007235142],"category_scores_gemma":[0.00001391267,0.0003095313,0.0002387858,0.00188482,0.00003172043,0.009729646,0.0004017618,0.0002429041,0.0006014222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001371997,"about_ca_system_score_gemma":0.00001725042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001274018,"about_ca_topic_score_gemma":0.000001920745,"domain_scores_codex":[0.9974899,0.00009660899,0.0008675021,0.0002656814,0.0008780219,0.0004022444],"domain_scores_gemma":[0.9979101,0.00009319453,0.0004895142,0.001071866,0.0002916558,0.00014367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009474615,0.00008711268,0.0001202095,0.00005973722,0.0001778189,8.034379e-7,0.002384883,0.77854,4.860946e-8,0.07159328,0.00478809,0.1422385],"study_design_scores_gemma":[0.001035938,0.00004240243,0.001433098,0.00001919921,0.00007506712,8.141834e-7,0.00002640167,0.9700869,0.0000144332,0.002418393,0.02451808,0.0003293206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001004037,0.00000934116,0.9826539,0.001237055,0.0004077952,0.0005421282,0.0000223249,0.000617898,0.01350548],"genre_scores_gemma":[0.9237309,0.0000130507,0.06431844,0.01166911,0.00007192828,0.00006111235,0.000119296,0.000005091465,0.00001109868],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9227268,"threshold_uncertainty_score":0.9999357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0175611270111493,"score_gpt":0.2408953752398012,"score_spread":0.2233342482286519,"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."}}