{"id":"W2065657080","doi":"10.1016/j.accinf.2014.05.004","title":"An approach to correctness of security and operational business policies","year":2014,"lang":"en","type":"article","venue":"International Journal of Accounting Information Systems","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Correctness; Computer science; Construct (python library); Business rule; Security policy; Set (abstract data type); Computer security model; State (computer science); Artifact-centric business process model; Computer security; Business process; Business process modeling; Process management; Business; Programming language; Work in process","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":[0.02257028,0.001529304,0.002456643,0.004794689,0.004703381,0.01048045,0.006901086,0.006341646,0.008447948],"category_scores_gemma":[0.09553385,0.003254789,0.006581102,0.003513748,0.0151499,0.02945989,0.01077562,0.01514392,0.001922153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005251891,"about_ca_system_score_gemma":0.008290238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006558816,"about_ca_topic_score_gemma":0.003297752,"domain_scores_codex":[0.9666206,0.01223638,0.003367628,0.003820242,0.0109426,0.003012645],"domain_scores_gemma":[0.8716168,0.07269678,0.004373795,0.02906886,0.02039387,0.001849844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000048318,0.00003731526,0.0003868942,0.00006559583,0.00002876169,0.00008893942,0.0003857826,0.00473263,0.000262198,0.9825283,0.001671553,0.009763642],"study_design_scores_gemma":[0.00002979497,0.00001829202,0.00007833642,0.00003213798,0.00004701017,0.00005676179,0.00009716406,0.02371607,0.0008673358,0.9696645,0.005376364,0.0000163822],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006191487,0.0002385014,0.9775336,0.005490863,0.0002858024,0.0001431132,0.0001549783,0.0007454153,0.009216201],"genre_scores_gemma":[0.4177824,0.0006755476,0.567378,0.002160238,0.00157655,0.0004169946,0.0006221915,0.0008277863,0.008560283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02257028,"threshold_uncertainty_score":0.1193645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008412294475648785,"score_gpt":0.2545356648969362,"score_spread":0.2461233704212875,"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."}}