{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001761459,0.0001538534,0.0002188736,0.000107496,0.0003534935,0.0002852979,0.0008544903,0.0000910688,0.00005967268],"category_scores_gemma":[0.0006337023,0.000152794,0.00005397241,0.0002810367,0.00003664425,0.0005481283,0.0000942149,0.0001239546,0.00002740001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001482453,"about_ca_system_score_gemma":0.0001782675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008693116,"about_ca_topic_score_gemma":0.00145551,"domain_scores_codex":[0.9985969,0.00007364287,0.0002547885,0.0003346991,0.0003217854,0.0004182056],"domain_scores_gemma":[0.9988084,0.0004145914,0.00007664209,0.0003609826,0.0002521208,0.00008729062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002354497,0.001351188,0.01418507,0.0007534332,0.0006022059,0.00001406114,0.006367222,0.4547422,0.004580232,0.155225,0.06434496,0.297599],"study_design_scores_gemma":[0.001070757,0.000007239467,0.002229719,0.00004234826,0.00008590448,2.843204e-7,0.00007942275,0.920154,0.00004793374,0.0001041371,0.07598655,0.000191707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1450154,0.02129097,0.7844322,0.001892857,0.006810693,0.005721744,0.002557749,0.001363129,0.03091525],"genre_scores_gemma":[0.9972783,0.00001022624,0.0004997138,0.00001941044,0.001521754,0.00005351631,0.0005044467,0.00002407175,0.00008855923],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8522629,"threshold_uncertainty_score":0.6230759,"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."}}