{"id":"W2026525660","doi":"10.1109/ase.2011.6100136","title":"SAUML: A tool for symbolic analysis of UML-RT models","year":2011,"lang":"en","type":"article","venue":"","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Unified Modeling Language; Computer science; Modularity (biology); IBM; Programming language; UML tool; Applications of UML; Reuse; Software engineering; Symbolic data analysis; Software; Theoretical computer science; Engineering","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":[0.0002053606,0.00010892,0.0002668794,0.0003546572,0.00002011546,0.00001690904,0.0007545962,0.00005866696,0.00002363719],"category_scores_gemma":[0.000004713645,0.00009843356,0.0001956106,0.0006995253,0.00001723125,0.0003249717,0.0001519637,0.00004133576,0.000001932779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001818535,"about_ca_system_score_gemma":0.00002214689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009139852,"about_ca_topic_score_gemma":0.000008657778,"domain_scores_codex":[0.9991406,0.00001123964,0.0002394905,0.000270256,0.0001509188,0.0001874716],"domain_scores_gemma":[0.9989917,0.00003384961,0.00005903424,0.000750074,0.0001204277,0.00004493375],"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":[0.000002780852,0.00004134564,0.0003224173,0.00001259249,0.0002022763,6.409521e-7,0.0006102578,0.004803564,0.0001526516,0.9770219,0.0003194726,0.01651015],"study_design_scores_gemma":[0.00006900467,0.00005049461,0.0008905024,0.000006036639,0.00009102591,7.01223e-7,6.580539e-7,0.9809102,0.006091149,0.01099136,0.0007623385,0.0001364773],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003989091,0.00001419104,0.9937258,0.00002454312,0.00003890279,0.0001818278,0.000006314505,0.0006823439,0.001336963],"genre_scores_gemma":[0.4081064,0.000002865013,0.5916258,0.00003598572,0.00000509489,0.00004579003,0.000001446812,0.000005988005,0.0001707018],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9761067,"threshold_uncertainty_score":0.4014004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05023780574176046,"score_gpt":0.2468030976322737,"score_spread":0.1965652918905133,"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."}}