{"id":"W1985019380","doi":"10.1108/17440080911006216","title":"Schema‐level access control policies for XML documents","year":2009,"lang":"en","type":"article","venue":"International Journal of Web Information Systems","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Acadia University","funders":"","keywords":"Computer science; Encryption; Correctness; Document Structure Description; Access control; Scalability; XML; Schema (genetic algorithms); Database; Theoretical computer science; Information retrieval; Computer security; Programming language; 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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006472607,0.00009698425,0.0001725207,0.0004962331,0.00006332906,0.001267231,0.001626975,0.00004908455,0.000003835112],"category_scores_gemma":[0.0001228128,0.000080367,0.000143328,0.0001669676,0.00001543945,0.00894215,0.00005848649,0.00009733481,0.00001659503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006842788,"about_ca_system_score_gemma":0.0001204138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001746353,"about_ca_topic_score_gemma":0.000001093518,"domain_scores_codex":[0.9982588,0.00002697911,0.000812598,0.00006140429,0.0007035981,0.0001366571],"domain_scores_gemma":[0.9974595,0.00008627429,0.000881019,0.0001567791,0.001334474,0.00008194072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000243713,0.0001478329,0.002469806,0.00004555151,0.0003607462,0.000007373871,0.001950081,0.00209665,0.0005568661,0.921671,0.04090407,0.02954625],"study_design_scores_gemma":[0.01051565,0.000567515,0.01800678,0.0004317152,0.00003741443,0.0008924422,0.0005309395,0.07400728,0.001377159,0.01594848,0.8771344,0.0005501578],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008072258,0.00009730799,0.9838777,0.002262671,0.002946035,0.0002183786,0.0001619279,0.00003140036,0.002332281],"genre_scores_gemma":[0.9951758,0.00002969709,0.003128376,0.001233108,0.0004003255,0.000005909176,0.00001701553,0.00000172688,0.000008029255],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9871036,"threshold_uncertainty_score":0.9997696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02669245679515533,"score_gpt":0.3243364336617772,"score_spread":0.2976439768666219,"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."}}