{"id":"W2533477538","doi":"10.1109/wcre.2005.14","title":"Design Pattern Detection in Eiffel Systems","year":2006,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Eiffel; Computer science; Software design pattern; Reverse engineering; Architectural pattern; Software engineering; Structural pattern; Engineering design process; Software; Software design; Software system; Programming language; Process (computing); Software development; Engineering; Object-oriented programming","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":[0.0002859309,0.0000521703,0.0000557209,0.0001450483,0.00001723241,0.0001038812,0.0002947249,0.00003321105,0.000002946289],"category_scores_gemma":[0.00003718089,0.00004751655,0.00001048605,0.0003243506,0.000004871337,0.0001587476,0.00005465602,0.00007978966,0.00008198926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006979844,"about_ca_system_score_gemma":0.00001296934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001230265,"about_ca_topic_score_gemma":0.00003729333,"domain_scores_codex":[0.9993235,0.00004247272,0.00009976684,0.0001649031,0.0001824869,0.0001869083],"domain_scores_gemma":[0.9994535,0.0002660868,0.000009878328,0.0002258876,0.0000219811,0.0000226001],"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":[0.000008833109,0.0002566678,0.1532843,0.0001609801,0.00001713575,0.0002948588,0.0004196648,0.4349008,0.03493925,0.004565017,0.003595039,0.3675575],"study_design_scores_gemma":[0.0001696985,0.00003416397,0.1047745,0.00001249328,2.617768e-7,0.00001577274,0.000002810151,0.8823429,0.01222553,0.0001614531,0.0001553757,0.0001050079],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03667271,0.0000485081,0.9624609,0.0000322869,0.0002323458,0.0001176113,5.020767e-8,0.0002917495,0.0001437831],"genre_scores_gemma":[0.9942189,6.346348e-7,0.005376328,0.000008082607,0.00004235432,0.0000269124,1.367954e-7,0.000005096995,0.0003215681],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9575462,"threshold_uncertainty_score":0.1937669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01870716233368852,"score_gpt":0.2312454440605458,"score_spread":0.2125382817268573,"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."}}