{"id":"W2169555541","doi":"10.1145/2043621.2043625","title":"Access Control Policy Translation, Verification, and Minimization within Heterogeneous Data Federations","year":2011,"lang":"en","type":"article","venue":"ACM Transactions on Information and System Security","topic":"Access Control and Trust","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Access control; XML; Markup language; XACML; Semantics (computer science); Control (management); Relational database; Set (abstract data type); Role-based access control; Database; Programming language; Theoretical computer science; Artificial intelligence; Computer security; World Wide Web","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":[0.02062871,0.0008010516,0.001513534,0.001346269,0.002463954,0.004282434,0.003113632,0.001877956,0.001126528],"category_scores_gemma":[0.05310071,0.001045292,0.001947398,0.001944503,0.004008895,0.007419949,0.005003032,0.003493994,0.0003547893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003426825,"about_ca_system_score_gemma":0.005968388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003918868,"about_ca_topic_score_gemma":0.00294523,"domain_scores_codex":[0.9748429,0.01206995,0.001970795,0.003455541,0.006034498,0.001626321],"domain_scores_gemma":[0.9610094,0.02315495,0.002816014,0.009272354,0.003083766,0.0006634417],"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":[0.0004970744,0.000541684,0.004499696,0.0003619409,0.0001876125,0.0008942834,0.001618215,0.3351939,0.01230284,0.4536422,0.002736981,0.1875235],"study_design_scores_gemma":[0.00007108905,0.00009334629,0.0004387897,0.00005108729,0.00006149957,0.0002202124,0.0004069369,0.7125101,0.01596649,0.2672947,0.002845091,0.00004060077],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04646798,0.0000991095,0.9502381,0.0008548203,0.000024008,0.0002127946,0.00006948589,0.0006335675,0.001400174],"genre_scores_gemma":[0.4531704,0.0001378676,0.5443518,0.0002278775,0.00004066168,0.0003121075,0.0002654452,0.0001687791,0.001324971],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02062871,"threshold_uncertainty_score":0.1090963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06829532864135857,"score_gpt":0.3127621746957987,"score_spread":0.2444668460544401,"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."}}