{"id":"W4402034738","doi":"10.32920/26871409","title":"Transformer Models for Automated Bug Triaging and Duplicate Bug Detection","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Manitoba; Systems, Applications & Products in Data Processing (Canada)","funders":"","keywords":"Computer science; Transformer; Engineering","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":[0.004288184,0.001263007,0.001404893,0.002579532,0.0005413116,0.002066673,0.002257515,0.001397597,0.002363105],"category_scores_gemma":[0.0162392,0.0005744983,0.001673014,0.002258695,0.001113931,0.003357335,0.001898623,0.002504099,0.00160188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001660664,"about_ca_system_score_gemma":0.001902153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009345104,"about_ca_topic_score_gemma":0.009172252,"domain_scores_codex":[0.9982049,0.0006539735,0.0001348975,0.0004963801,0.000363507,0.000146206],"domain_scores_gemma":[0.9925368,0.003896394,0.000768351,0.001088494,0.001469934,0.0002400573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005090376,0.0003758867,0.006474104,0.0002384956,0.0002026179,0.0001650872,0.0002713634,0.6178409,0.003882003,0.02631397,0.01205224,0.3316743],"study_design_scores_gemma":[0.00001046411,0.00004071858,0.0002180997,0.000004557385,0.00001195688,0.00002433861,0.00001189681,0.988952,0.0004746659,0.009860239,0.0003833968,0.000007722746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0506226,0.00116647,0.9406954,0.0007372171,0.0001042811,0.0001280303,0.0005251612,0.004029083,0.001991774],"genre_scores_gemma":[0.779558,0.001010208,0.2093163,0.0005147985,0.000178824,0.000242143,0.002599394,0.0003985478,0.006181702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009345104,"threshold_uncertainty_score":0.02267832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04005328244476049,"score_gpt":0.3005505525739943,"score_spread":0.2604972701292338,"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."}}