{"id":"W2084481113","doi":"10.1109/dasc.2011.42","title":"A Natural Classification Scheme for Software Security Patterns","year":2011,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Software security assurance; Computer science; Security testing; Security information and event management; Computer security model; Security bug; Scheme (mathematics); Security through obscurity; Classification scheme; Security service; Secure coding; Security engineering; Software; Computer security; Cloud computing security; Information security; Machine learning; Mathematics; Operating system","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":[0.005546084,0.001110781,0.0007182552,0.008262571,0.002613133,0.004605393,0.001973724,0.002467442,0.005115617],"category_scores_gemma":[0.01293495,0.0006614059,0.002405668,0.005943038,0.003511442,0.01001763,0.002403976,0.002978633,0.003167539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002093461,"about_ca_system_score_gemma":0.00320746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002790872,"about_ca_topic_score_gemma":0.002542217,"domain_scores_codex":[0.9902917,0.001940172,0.003280995,0.001727831,0.002218636,0.0005406284],"domain_scores_gemma":[0.9862149,0.002619697,0.001843625,0.004048826,0.004645849,0.0006270367],"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":[0.00009376083,0.0001802999,0.005970934,0.0004143942,0.00004685178,0.0002681405,0.001411731,0.002563665,0.006744766,0.8008433,0.0147307,0.1667313],"study_design_scores_gemma":[0.0001108136,0.0004018308,0.004562789,0.0006738062,0.0001232446,0.003276247,0.001095969,0.05572848,0.00701774,0.6149858,0.3118042,0.0002190869],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01198053,0.0003600603,0.9681788,0.001571816,0.0003055365,0.001145851,0.001549454,0.001899207,0.01300872],"genre_scores_gemma":[0.05204524,0.0002713051,0.9393705,0.0003430478,0.0001231573,0.0009979791,0.00243072,0.0001509589,0.004267203],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008262571,"threshold_uncertainty_score":0.02933079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05391884910734808,"score_gpt":0.281155768824041,"score_spread":0.227236919716693,"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."}}