{"id":"W1982206358","doi":"10.1145/2499393.2499397","title":"Using code change types in an analogy-based classifier for short-term defect prediction","year":2013,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Analogy; Computer science; Classifier (UML); Artificial intelligence; Term (time); Machine learning; Pattern recognition (psychology); Physics; Linguistics","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":[0.00185607,0.0009691059,0.00107503,0.006956147,0.0005916018,0.001180678,0.001171816,0.001808293,0.001155569],"category_scores_gemma":[0.01153224,0.0002909232,0.0007651949,0.002919891,0.0004957939,0.002145695,0.0006862744,0.001349232,0.001116966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005572609,"about_ca_system_score_gemma":0.0007323756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004071323,"about_ca_topic_score_gemma":0.003928098,"domain_scores_codex":[0.9983788,0.0002169214,0.0001835053,0.0004249349,0.0006443663,0.0001515618],"domain_scores_gemma":[0.9902478,0.004910918,0.001247409,0.0008034484,0.002359532,0.0004309156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001128924,0.001135107,0.280975,0.0002914933,0.00019636,0.001407681,0.0004382623,0.08763942,0.02459324,0.002812613,0.007663901,0.591718],"study_design_scores_gemma":[0.00003119291,0.000365583,0.03175235,0.00003980227,0.00007763955,0.0006944253,0.0001008657,0.9559397,0.005893053,0.00307709,0.001969788,0.00005857054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6429177,0.0008065382,0.3454496,0.0004651458,0.0002139405,0.0004103459,0.001867629,0.004853446,0.003015745],"genre_scores_gemma":[0.887715,0.0001855353,0.1083029,0.00009638479,0.0001201683,0.0002353387,0.001984189,0.00007920712,0.001281231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006956147,"threshold_uncertainty_score":0.009815991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.153476327343101,"score_gpt":0.3466360376047465,"score_spread":0.1931597102616455,"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."}}