{"id":"W1968205250","doi":"10.1007/s10796-008-9127-y","title":"UML-CI: A reference model for profiling critical infrastructure systems","year":2008,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Unified Modeling Language; Metamodeling; Profiling (computer programming); Critical infrastructure; Software engineering; Systems engineering; Programming language; Computer security; Software; Engineering","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":[0.0006813571,0.0002527969,0.0004239841,0.0002490158,0.0004874202,0.0003526488,0.0007458704,0.0002755973,6.449832e-7],"category_scores_gemma":[0.0002481423,0.0002077242,0.000107464,0.0003257296,0.0001033522,0.004277104,0.00009691536,0.000211547,0.00007064223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002388022,"about_ca_system_score_gemma":0.0003784466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004462944,"about_ca_topic_score_gemma":2.608857e-7,"domain_scores_codex":[0.9975334,0.00006950076,0.001012541,0.0002950771,0.0006080687,0.0004813962],"domain_scores_gemma":[0.9979306,0.00008313794,0.0003088483,0.0007229006,0.0007716109,0.0001828801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000128826,0.00006780997,0.0151517,0.005045074,0.0001470847,0.000006423567,0.01601057,0.6699468,0.00006485995,0.1205116,0.1650059,0.007913367],"study_design_scores_gemma":[0.0004237488,0.00004659723,0.0002215455,0.00009008237,0.000006839251,0.0001175172,0.0005951208,0.9813761,0.00002981911,0.0001843022,0.01663696,0.0002713629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005455572,0.0003628549,0.9868211,0.00008741755,0.004178009,0.001237439,0.00007735575,0.0004675063,0.001312742],"genre_scores_gemma":[0.9311598,0.00002357931,0.06784654,0.0001119791,0.0001478702,0.0004516953,0.0000465494,0.00001127888,0.0002006854],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9257042,"threshold_uncertainty_score":0.8470747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02504811083021786,"score_gpt":0.2543922456689353,"score_spread":0.2293441348387174,"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."}}