{"id":"W2082651521","doi":"10.1016/j.datak.2006.03.005","title":"Compact access control labeling for efficient secure XML query evaluation","year":2006,"lang":"en","type":"article","venue":"Data & Knowledge Engineering","topic":"Access Control and Trust","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; XML Signature; Access control; XML Encryption; XML database; Efficient XML Interchange; Streaming XML; XML framework; Granularity; Data access; Database; XML validation; XML; Computer network; World Wide Web; Programming language","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":[0.005700632,0.000718169,0.001905654,0.002353925,0.00173452,0.005042122,0.001659783,0.001433991,0.004705595],"category_scores_gemma":[0.02308122,0.0008466856,0.001071892,0.002122909,0.002152204,0.009105924,0.003999448,0.002533441,0.001133159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003423285,"about_ca_system_score_gemma":0.003867605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004814226,"about_ca_topic_score_gemma":0.005332332,"domain_scores_codex":[0.9898118,0.002994106,0.001108347,0.001183577,0.003949195,0.0009529585],"domain_scores_gemma":[0.9732084,0.01219638,0.001521747,0.009185916,0.00340661,0.0004809637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002555388,0.0005533223,0.004541896,0.0004129556,0.0001225329,0.0003644167,0.001389572,0.06886094,0.04773636,0.2889378,0.01432178,0.570203],"study_design_scores_gemma":[0.0001243639,0.0001796859,0.000606649,0.00004635093,0.0000742618,0.0002192751,0.0002453969,0.7484897,0.04406741,0.2002989,0.005585554,0.00006239448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03484815,0.0001723416,0.956647,0.0004164847,0.0000463842,0.0002806105,0.0004738524,0.005571128,0.001543989],"genre_scores_gemma":[0.5743365,0.0001089876,0.4204035,0.0002224756,0.00008071128,0.0003103658,0.001077453,0.0005873766,0.002872645],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005700632,"threshold_uncertainty_score":0.03014821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06344754137285828,"score_gpt":0.3806975017838266,"score_spread":0.3172499604109683,"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."}}