{"id":"W2585726445","doi":"","title":"Security Patterns Meet Agent Oriented Software Engineering: A Complementary Solution for Developing Secure Information Systems","year":2005,"lang":"en","type":"other","venue":"ROAR (University of East London)","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Agent-oriented software engineering; Completeness (order theory); Software engineering; Software development; Formal methods; Information system; Software; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000211008,0.0003035748,0.0003758443,0.0005093896,0.0001373821,0.00005344577,0.0008895449,0.0001588562,0.0001503199],"category_scores_gemma":[0.000008822598,0.0004005928,0.0001542856,0.00031985,0.00002390818,0.000580824,0.0005523156,0.0001252429,0.00003983721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000482056,"about_ca_system_score_gemma":0.0001049162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008203087,"about_ca_topic_score_gemma":0.0009820196,"domain_scores_codex":[0.9984932,0.0000525313,0.0002602257,0.0003779138,0.0004305956,0.0003855477],"domain_scores_gemma":[0.9986886,0.00002877901,0.0005189567,0.0005408555,0.0001206719,0.0001021337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007090171,0.0001777337,0.0005953005,0.005277957,0.001030535,0.00004589522,0.003627794,0.01669143,0.000004379547,0.06384723,0.883591,0.02503988],"study_design_scores_gemma":[0.001023966,0.00005984952,0.0001509716,0.0005826005,0.00006380159,0.00000322939,0.0002680219,0.1943606,0.000001856888,0.00000605491,0.8031055,0.0003735772],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001305685,0.0002061505,0.9951304,0.0001975476,0.0007620466,0.001393628,0.0003939781,0.0003974896,0.001388148],"genre_scores_gemma":[0.06825138,0.0007428165,0.8657568,0.001034447,0.001690809,0.0001038903,0.01022826,0.0006550625,0.05153654],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1776692,"threshold_uncertainty_score":0.9998446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009241602338435106,"score_gpt":0.1818790074078016,"score_spread":0.1726374050693665,"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."}}