{"id":"W4237262375","doi":"10.22215/etd/2006-07484","title":"Towards vertical impact analysis of UML models","year":2006,"lang":"en","type":"dissertation","venue":"","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Unified Modeling Language; Computer science; Humanities; Programming language; Art; Software","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":[0.0001404605,0.0002730601,0.0006208525,0.0008586697,0.00001900577,0.00005662699,0.0009802572,0.0002886293,0.00004112845],"category_scores_gemma":[0.000004695501,0.0002350231,0.0005493955,0.001294724,0.00001221721,0.0002702153,0.00007370452,0.000189365,0.000002718159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001074186,"about_ca_system_score_gemma":0.0001430463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001310518,"about_ca_topic_score_gemma":0.000143103,"domain_scores_codex":[0.998387,0.00002278499,0.000422181,0.0004255167,0.0004997049,0.0002428021],"domain_scores_gemma":[0.998716,0.00002499735,0.00008290319,0.00087956,0.0002163268,0.00008022424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001658999,0.0001323761,0.0001415556,0.0000864285,0.001479871,0.00001038398,0.0003405179,0.2390185,0.0004192751,0.6940177,0.002278247,0.06205856],"study_design_scores_gemma":[0.00004130863,0.00005509685,0.005548263,0.00002606397,0.0003536612,4.980566e-7,6.366948e-7,0.9869035,0.00409619,0.002588567,0.0001289402,0.0002572725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01067795,0.00006867425,0.9810235,0.00001030532,0.0001059474,0.0001129112,0.00001403295,0.0006625205,0.007324168],"genre_scores_gemma":[0.5188073,0.00001257799,0.4793528,0.00001041684,0.00001951124,0.00002316793,0.0004264708,0.00002463097,0.001323164],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.747885,"threshold_uncertainty_score":0.9583964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01388649039351933,"score_gpt":0.2898111184429898,"score_spread":0.2759246280494705,"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."}}