{"id":"W2030495869","doi":"10.1108/09685220310500162","title":"An XML‐based administration method on role‐based access control in the enterprise environment","year":2003,"lang":"en","type":"article","venue":"Information Management & Computer Security","topic":"Access Control and Trust","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; XML; Access control; Scope (computer science); Markup language; Role-based access control; Security policy; Database; cXML; Computer security; XML Encryption; XML validation; World Wide Web; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.001846986,0.0001541089,0.0001411469,0.000192815,0.0003313847,0.0007404358,0.0006566998,0.00006703335,0.0001359745],"category_scores_gemma":[0.00001353039,0.0001268322,0.00006860119,0.0002185192,0.00005065935,0.001827521,0.00002290826,0.0001496648,0.00006093769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001115996,"about_ca_system_score_gemma":0.00005068308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001785617,"about_ca_topic_score_gemma":0.0001731604,"domain_scores_codex":[0.9976696,0.0008503084,0.0003843868,0.00017947,0.0006456132,0.0002705846],"domain_scores_gemma":[0.999186,0.0001558192,0.0002062295,0.000342445,0.00003354643,0.00007591176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005220317,0.002041776,0.01882629,0.0001429501,0.0001055463,0.00003545795,0.0214262,0.1017111,0.000001678744,0.6435751,0.00172643,0.2098854],"study_design_scores_gemma":[0.004370254,0.0003243866,0.04253468,0.00003535354,0.00005693435,4.55016e-7,0.001816478,0.6005483,0.0000381253,0.006591913,0.3432647,0.0004184063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009032791,0.000007756887,0.9503654,0.002111053,0.0002163134,0.001354282,0.00001251629,0.00008062697,0.03681925],"genre_scores_gemma":[0.9868628,0.000005854277,0.003687038,0.009193533,0.0000670562,0.0001305339,0.00004433155,0.000003981127,0.000004806444],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9778301,"threshold_uncertainty_score":0.714004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01331647322966208,"score_gpt":0.3136710087945483,"score_spread":0.3003545355648862,"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."}}