{"id":"W2953886423","doi":"10.1109/icpc.2019.00022","title":"Comparing Bug Replication in Regular and Micro Code Clones","year":2019,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"clone (Java method); Replication (statistics); Cloning (programming); Copying; Computer science; Biology; Programming language; Java; Software bug; Code (set theory); Software maintenance; Software development; Software; Genetics; Gene; Virology","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":[0.0002901348,0.00004329889,0.00007152805,0.00008519105,0.00001246007,0.00006095877,0.0002938184,0.00002267604,0.000004684146],"category_scores_gemma":[0.00008334567,0.00004163538,0.000007436849,0.0002024015,0.000009701744,0.0001627867,0.0001880588,0.00006885773,0.00005343901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002537858,"about_ca_system_score_gemma":0.00001127127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006187896,"about_ca_topic_score_gemma":0.00001173848,"domain_scores_codex":[0.999396,0.00001308928,0.00008297209,0.0002729344,0.0001051113,0.0001298372],"domain_scores_gemma":[0.9991884,0.0001481132,0.00001107319,0.0005998283,0.00002135978,0.00003123378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001841874,0.00001245922,0.9698191,0.00002400893,0.000002386668,0.000002209883,0.0001765644,0.0003506727,0.01805427,0.008203816,0.0002876196,0.003065068],"study_design_scores_gemma":[0.0002429009,0.00001783103,0.8729514,0.00002146566,3.044057e-7,0.00001212949,0.000008853447,0.1077814,0.01692483,0.0004639491,0.001477094,0.0000978529],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9245101,0.0000926041,0.07439235,0.0003846817,0.0000512028,0.0001054501,8.285189e-8,0.0001353379,0.0003282451],"genre_scores_gemma":[0.973224,0.000006941215,0.02615013,0.00002980785,0.000007419101,0.000005514257,5.52116e-7,0.000003882599,0.0005717315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1074307,"threshold_uncertainty_score":0.1697842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02314601914408511,"score_gpt":0.2696264710558715,"score_spread":0.2464804519117864,"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."}}