{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006625337,0.0005489829,0.0005327185,0.001103597,0.0009117719,0.005160565,0.001669744,0.001513608,0.003673383],"category_scores_gemma":[0.0153778,0.0005863405,0.0009922133,0.001666332,0.001369392,0.006718565,0.001768456,0.002157004,0.001679384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001687457,"about_ca_system_score_gemma":0.00278928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002731692,"about_ca_topic_score_gemma":0.002309994,"domain_scores_codex":[0.9916551,0.002844693,0.001501188,0.0009226141,0.002612515,0.0004637908],"domain_scores_gemma":[0.9867842,0.004051932,0.001083878,0.006061182,0.00169768,0.0003211194],"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":[0.0005127144,0.0003134742,0.004875666,0.001013184,0.0001346729,0.0006088465,0.001792154,0.05775968,0.03489628,0.684177,0.009620861,0.2042955],"study_design_scores_gemma":[0.0001922743,0.0004257538,0.002137223,0.0005441674,0.0001350546,0.001621434,0.0009441825,0.4485941,0.09638423,0.2150512,0.2338121,0.0001582516],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01921814,0.0006846333,0.9664243,0.0006853699,0.00008560818,0.000704876,0.0008051047,0.004083151,0.007308751],"genre_scores_gemma":[0.388328,0.001634261,0.5963176,0.000594287,0.0001141036,0.0007694383,0.003030881,0.000614153,0.008597317],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006625337,"threshold_uncertainty_score":0.03503859,"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."}}