{"id":"W2131112324","doi":"10.1109/wcre.2009.51","title":"An Empirical Study on Inconsistent Changes to Code Clones at Release Level","year":2009,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Software evolution; Computer science; Software; Code (set theory); Perspective (graphical); Software quality; Empirical research; Quality (philosophy); Software development; Software release life cycle; Software engineering; Open source software; Code review; Software construction; Programming language; Artificial intelligence; Statistics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01953501,0.0002963089,0.0003373027,0.002056943,0.0008673022,0.001827053,0.001312131,0.001364817,0.002068309],"category_scores_gemma":[0.3148227,0.0004071729,0.0002904919,0.002118595,0.002300976,0.00335118,0.001308139,0.002524419,0.0003098545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008053082,"about_ca_system_score_gemma":0.0007463532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001353714,"about_ca_topic_score_gemma":0.001430433,"domain_scores_codex":[0.9740054,0.01404404,0.002179632,0.002091968,0.006957092,0.0007218346],"domain_scores_gemma":[0.2519299,0.5780786,0.1247053,0.01910847,0.02293366,0.003244003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004138375,0.0008082349,0.9709125,0.0001582846,0.00008245135,0.0004510378,0.00747525,0.0003489447,0.0007485779,0.0008017654,0.0003666383,0.01743233],"study_design_scores_gemma":[0.0000391014,0.001141294,0.9858353,0.0001190815,0.00006799955,0.0009166403,0.007542721,0.001531305,0.0006873563,0.0005401462,0.001552711,0.00002645226],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980399,0.0001665626,0.0005819966,0.000172761,0.000004842846,0.00002506731,0.00003772082,0.000005613633,0.0009655273],"genre_scores_gemma":[0.9990917,0.00009617337,0.0004210434,0.0001005325,0.00001027145,0.00002868632,0.00007276945,0.000008946916,0.0001698818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01953501,"threshold_uncertainty_score":0.1033122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1130463340516356,"score_gpt":0.3774895446032434,"score_spread":0.2644432105516079,"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."}}