{"id":"W2153538963","doi":"10.1109/wpc.2000.852478","title":"A pattern matching framework for software architecture recovery and restructuring","year":2002,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Pattern matching; Restructuring; Software architecture; Matching (statistics); Data mining; Software; Software system; Architecture; Abstraction; Theoretical computer science; Artificial intelligence; Programming language; Mathematics","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":[0.0001294682,0.0001204994,0.0001137939,0.0001173757,0.0001057016,0.0002368205,0.0004692681,0.00007923898,0.00002804437],"category_scores_gemma":[0.0007108227,0.0001069991,0.00004203794,0.0001587303,0.0000173377,0.00019791,0.0002598675,0.0002598859,0.00001378309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002477032,"about_ca_system_score_gemma":0.000006943869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001345369,"about_ca_topic_score_gemma":0.000003080258,"domain_scores_codex":[0.9989816,0.00001658466,0.0001148939,0.0003556363,0.0001939606,0.0003373045],"domain_scores_gemma":[0.9977422,0.001683186,0.00002179275,0.0004266252,0.00002566434,0.0001005836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004157241,0.00001487999,0.004025318,0.0001770597,0.00002855349,0.00002381956,0.001559442,0.004340853,0.00008880866,0.003764514,0.0007620128,0.9852106],"study_design_scores_gemma":[0.0008970551,0.0003691321,0.0318597,0.0004631704,0.000009833744,0.0003173102,0.00004881351,0.0374934,0.001678845,0.9229514,0.002742978,0.001168392],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06273451,0.0001837455,0.9355574,0.0006711183,0.0002057929,0.0001608317,0.000002466782,0.000463289,0.00002081707],"genre_scores_gemma":[0.2440521,0.00001331161,0.7553645,0.0002330907,0.0001024958,0.00002633559,6.229807e-7,0.00001831901,0.0001892115],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9840422,"threshold_uncertainty_score":0.4363296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0181864543973998,"score_gpt":0.2467163624211816,"score_spread":0.2285299080237818,"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."}}