{"id":"W2165854000","doi":"10.1109/ecbs.2006.70","title":"UMLintr: a UML profile for specifying intrusions","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Applications of UML; Unified Modeling Language; UML tool; Object Constraint Language; Programming language; Software engineering; Usability; Software; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000241434,0.00009667791,0.0001164234,0.0000686215,0.00009180695,0.00005490246,0.0004389341,0.0000414096,0.00001105146],"category_scores_gemma":[0.0005913507,0.0000830281,0.00005090347,0.0002059796,0.00002011149,0.000245054,0.0001775679,0.00006943999,0.00002799211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003132886,"about_ca_system_score_gemma":0.00002137802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008029276,"about_ca_topic_score_gemma":0.000003545675,"domain_scores_codex":[0.9992202,0.00002107089,0.0001481298,0.000255754,0.00009407432,0.0002608048],"domain_scores_gemma":[0.9986513,0.0008818873,0.00003423653,0.0003471222,0.00005384739,0.0000316396],"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":[0.000003185391,0.00004927823,0.0001090446,0.00003641094,0.000009252644,0.000007517909,0.0001849906,0.04238975,0.007138053,0.8007789,0.01847256,0.1308211],"study_design_scores_gemma":[0.0008404934,0.0001729164,0.002311117,0.00003572662,0.000008576608,0.0000343318,0.00007416095,0.1714465,0.08708171,0.6371358,0.1002929,0.0005658331],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007406533,0.00007186805,0.9943053,0.0002613871,0.0004427672,0.0002173831,0.000002112954,0.001116855,0.002841696],"genre_scores_gemma":[0.009210763,0.000002509888,0.9877779,0.0000684843,0.0001690558,0.00006567578,0.000002377408,0.00001014561,0.002693016],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1636431,"threshold_uncertainty_score":0.3385788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03169250254184054,"score_gpt":0.2854808295892812,"score_spread":0.2537883270474406,"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."}}