{"id":"W2155806065","doi":"10.1145/1809842.1809871","title":"Access control policy translation and verification within heterogeneous data federations","year":2010,"lang":"en","type":"article","venue":"","topic":"Access Control and Trust","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Access control; XML; Markup language; Semantics (computer science); Data access; XACML; Set (abstract data type); Relational database; Control (management); Database; Programming language; Role-based access control; World Wide Web; Artificial intelligence; Computer security","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":[0.03962521,0.0006333988,0.001498705,0.001597661,0.00328042,0.007472815,0.003568771,0.002966891,0.001384501],"category_scores_gemma":[0.1068769,0.00129112,0.002470691,0.002011213,0.005824701,0.01246532,0.006957566,0.004512981,0.0005525737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003834044,"about_ca_system_score_gemma":0.00757166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006041191,"about_ca_topic_score_gemma":0.002717712,"domain_scores_codex":[0.9514147,0.02178746,0.005357562,0.006120736,0.01233831,0.002981139],"domain_scores_gemma":[0.9111004,0.04585966,0.006753871,0.02724357,0.007873772,0.00116862],"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":[0.0007124059,0.0005856857,0.007551298,0.0003427504,0.0002196158,0.002240087,0.003638247,0.1830164,0.01505328,0.6382445,0.003303377,0.1450924],"study_design_scores_gemma":[0.0001279122,0.00009902658,0.0005435249,0.0000880313,0.00007333689,0.0003558206,0.0007853128,0.632024,0.03032844,0.3296266,0.005877923,0.0000700675],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03607636,0.00006732008,0.9598521,0.0009744078,0.00004938219,0.0002362,0.0000837466,0.001411463,0.001248968],"genre_scores_gemma":[0.5577711,0.00012809,0.4396055,0.0003885669,0.00005403674,0.0003223561,0.0003541784,0.0001814701,0.001194666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03962521,"threshold_uncertainty_score":0.2095606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08533187425559711,"score_gpt":0.389599181522529,"score_spread":0.3042673072669319,"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."}}