{"id":"W2148952798","doi":"10.1145/354876.354878","title":"Configuring role-based access control to enforce mandatory and discretionary access control policies","year":2000,"lang":"en","type":"article","venue":"ACM Transactions on Information and System Security","topic":"Access Control and Trust","field":"Social Sciences","cited_by":574,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Role-based access control; Access control; Discretionary access control; Computer science; Mandatory access control; Computer access control; Control (management); Physical access; Computer security; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01020613,0.0005897195,0.0006515628,0.0008395512,0.00131244,0.003858758,0.00289704,0.001389834,0.002325896],"category_scores_gemma":[0.02081891,0.0006319865,0.0008615567,0.0005604364,0.002932275,0.005424895,0.00312444,0.003021439,0.0008877208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001417242,"about_ca_system_score_gemma":0.002320963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001794499,"about_ca_topic_score_gemma":0.001801923,"domain_scores_codex":[0.9891671,0.005110454,0.0009647194,0.001259468,0.002455072,0.001043268],"domain_scores_gemma":[0.9807547,0.006053353,0.001579029,0.008677395,0.001915994,0.001019425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003904524,0.0004856003,0.004937262,0.0001594357,0.0001119489,0.0004599027,0.002312558,0.07125163,0.02364253,0.8091792,0.002770574,0.08429896],"study_design_scores_gemma":[0.0001708795,0.0002452386,0.0008301917,0.000110191,0.0000813347,0.0005129072,0.0004465266,0.6258885,0.02829804,0.318765,0.02449699,0.0001542002],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05000896,0.0001995705,0.9338478,0.0004343907,0.0001024042,0.0004155632,0.00005575855,0.00209334,0.01284216],"genre_scores_gemma":[0.8155558,0.0001366924,0.1802799,0.0001813883,0.00005140417,0.0003060006,0.00009024856,0.0001865578,0.003212063],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01020613,"threshold_uncertainty_score":0.05397582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01114039646682602,"score_gpt":0.2849402230639566,"score_spread":0.2737998265971306,"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."}}