{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01160985,0.0004575269,0.0004606219,0.003620588,0.001203918,0.001621098,0.001221585,0.001185673,0.00128956],"category_scores_gemma":[0.112499,0.0005048376,0.0005021837,0.003416972,0.002294875,0.002781115,0.001789295,0.001665727,0.0002847388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001064053,"about_ca_system_score_gemma":0.001132165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003190467,"about_ca_topic_score_gemma":0.004135305,"domain_scores_codex":[0.9826655,0.007651488,0.001891784,0.002392092,0.004807364,0.0005918092],"domain_scores_gemma":[0.6522311,0.2637864,0.04875486,0.01202367,0.02060559,0.002598303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001942402,0.0005897838,0.9504533,0.0003731473,0.0001186898,0.001131282,0.01775961,0.000660194,0.0009481062,0.0005024163,0.0008556265,0.0264134],"study_design_scores_gemma":[0.00005556417,0.0009970106,0.9545305,0.0002990075,0.0001786959,0.005007801,0.022103,0.00845347,0.001912,0.0007582068,0.005628433,0.0000761614],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978269,0.0002978642,0.001031776,0.00007994712,0.000003957822,0.00006875998,0.0001285813,0.00001967826,0.0005425516],"genre_scores_gemma":[0.9979948,0.0002124011,0.001156817,0.00004031363,0.000009260408,0.00006583608,0.0002456974,0.00001615002,0.0002587959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01160985,"threshold_uncertainty_score":0.06139952,"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."}}