{"id":"W2140394621","doi":"10.1109/compsac.2011.79","title":"Security Monitoring of Components Using Aspects and Contracts in Wrappers","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Component (thermodynamics); Computer science; Modularity (biology); Scripting language; Aspect-oriented programming; Component-based software engineering; SQL injection; Usability; Cross-site scripting; System monitoring; Software; Distributed computing; Software engineering; Embedded system; Software system; Operating system; The Internet; 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":[],"consensus_categories":[],"category_scores_codex":[0.00023572,0.00006978046,0.0001375014,0.00008515449,0.00001452182,0.000007443369,0.0001995876,0.00003242234,8.398646e-7],"category_scores_gemma":[0.0001494609,0.000067019,0.00001266397,0.0001369266,0.00003279487,0.0003034759,0.0001277947,0.00007926414,3.09633e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000205458,"about_ca_system_score_gemma":0.000008974563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001368167,"about_ca_topic_score_gemma":0.000002293631,"domain_scores_codex":[0.9994531,0.00004152183,0.0001281874,0.0001524995,0.000079826,0.0001448334],"domain_scores_gemma":[0.9995386,0.0001938477,0.00004057482,0.0001706933,0.00002137971,0.0000349325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005488528,0.0003229888,0.6011519,0.000205909,0.00007184464,0.0002081409,0.02258582,0.02574544,0.2065304,0.1219187,0.000003160663,0.02120079],"study_design_scores_gemma":[0.0006930834,0.00007567407,0.6296447,0.0001168458,0.000004413558,0.00002673528,0.0002980797,0.02451049,0.2756308,0.0686552,0.000007584655,0.0003363726],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.491893,0.00007579342,0.5076585,0.000002722741,0.0001237331,0.0000310372,8.459922e-8,0.00005768512,0.0001574446],"genre_scores_gemma":[0.5720007,0.000007091581,0.4279821,0.000002305085,0.000004194062,5.295661e-7,1.917886e-8,0.000002166166,8.823508e-7],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08010778,"threshold_uncertainty_score":0.2732956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1392357034102865,"score_gpt":0.30353224207082,"score_spread":0.1642965386605335,"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."}}