{"id":"W2427333829","doi":"10.1109/saner.2016.78","title":"Bug Replication in Code Clones: An Empirical Study","year":2016,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"clone (Java method); Code refactoring; Cloning (programming); Programming language; Computer science; Replication (statistics); Code (set theory); Java; Software bug; Biology; Software; Genetics; Virology; Gene","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":[0.0006435107,0.00005347818,0.00006955302,0.0001113071,0.00001796258,0.00004268707,0.0006676287,0.00002680506,0.00001637676],"category_scores_gemma":[0.0006338596,0.00003407625,0.0000105163,0.0003708066,0.00001174612,0.000350799,0.0001618202,0.00005769353,0.0001158144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006538069,"about_ca_system_score_gemma":0.00004001537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006146017,"about_ca_topic_score_gemma":0.00008516674,"domain_scores_codex":[0.9989788,0.00006030754,0.0001297581,0.0004075085,0.00024861,0.0001750196],"domain_scores_gemma":[0.9983166,0.0003840529,0.0000117556,0.001166724,0.0000448864,0.00007601587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002715929,0.0002486707,0.9664373,0.000001282983,0.000002117334,0.000009757712,0.0004812088,0.00001514498,0.0006675434,0.0005745108,0.000535691,0.03102401],"study_design_scores_gemma":[0.0003157362,0.000185112,0.9933627,0.000004498365,2.843443e-7,0.000002750044,0.00002404427,0.004411721,0.0007415049,0.0003263249,0.0005488914,0.00007648347],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6546743,0.00000371251,0.3438539,0.0009723151,0.00003930794,0.0001308383,1.879666e-7,0.0002541059,0.0000713989],"genre_scores_gemma":[0.992133,0.000001126923,0.007358024,0.00005657405,0.00002224198,0.00003972238,1.834081e-7,0.000005312518,0.0003837874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3374588,"threshold_uncertainty_score":0.1488599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05847684046689076,"score_gpt":0.3802583650532162,"score_spread":0.3217815245863254,"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."}}