{"id":"W2173092635","doi":"10.1109/models.2015.7338235","title":"State machine antipatterns for UML-RT","year":2015,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Software engineering; Software development; Unified Modeling Language; Software construction; Software; Software development process; Software system; Set (abstract data type); Software quality; Programming language","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":[0.002661159,0.0009159562,0.000562605,0.001384175,0.0005821238,0.001924156,0.00118877,0.001668376,0.007519694],"category_scores_gemma":[0.009853833,0.0006657521,0.001088662,0.000834741,0.001855145,0.002681075,0.001592791,0.002641556,0.003223362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007657821,"about_ca_system_score_gemma":0.00122288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001491316,"about_ca_topic_score_gemma":0.00207321,"domain_scores_codex":[0.994785,0.001594705,0.0007316615,0.0005775606,0.002086698,0.0002243497],"domain_scores_gemma":[0.9932263,0.002830238,0.0009974421,0.001885021,0.0009796972,0.00008136613],"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":[0.0002590242,0.0001520623,0.002170023,0.0007155815,0.0000510708,0.0008210345,0.001975558,0.01990995,0.02731063,0.5732634,0.0207366,0.3526351],"study_design_scores_gemma":[0.00008670714,0.0002375851,0.001051446,0.0004055208,0.00006992309,0.001315414,0.0001639558,0.1681844,0.04546835,0.3199305,0.4629571,0.0001291745],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0030178,0.0001516416,0.9801376,0.0002544837,0.0001059358,0.0001453682,0.0002652476,0.008742529,0.007179352],"genre_scores_gemma":[0.1070275,0.0004452047,0.8805163,0.0004716631,0.00009922338,0.000756817,0.001091155,0.002586267,0.007005978],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007519694,"threshold_uncertainty_score":0.0251559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04992134072962341,"score_gpt":0.3129910642982242,"score_spread":0.2630697235686008,"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."}}