{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005095411,0.0001300167,0.0001630609,0.0002145315,0.001464014,0.0004945101,0.0003962418,0.0001346653,0.00006450419],"category_scores_gemma":[0.0001102715,0.0001267794,0.00002773208,0.0002925839,0.0001340255,0.00392662,0.000009207441,0.0001119709,0.00001664796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005389225,"about_ca_system_score_gemma":0.0001769892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002876499,"about_ca_topic_score_gemma":0.002361868,"domain_scores_codex":[0.9986959,0.000188373,0.0004966255,0.0001926511,0.0002596302,0.0001668637],"domain_scores_gemma":[0.998891,0.0001029732,0.0002085083,0.0004461231,0.0002026725,0.0001487204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008746277,0.0005306841,0.007010353,0.0007553418,0.0005529227,0.000003868462,0.373103,0.00269264,0.00001509204,0.3555245,0.000383218,0.2585538],"study_design_scores_gemma":[0.02527734,0.0008106405,0.04787468,0.0006432307,0.001474088,0.0002378439,0.113828,0.6260258,0.0009303758,0.02796179,0.1505663,0.004369884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03351415,0.0002626697,0.9304395,0.005979445,0.0007805474,0.002384746,0.001007247,0.0006293752,0.02500227],"genre_scores_gemma":[0.9986995,0.0001628125,0.0005485994,0.0003403093,0.00006360927,0.00006264557,0.00009904731,0.000006328874,0.00001709176],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9651854,"threshold_uncertainty_score":0.999836,"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."}}