{"id":"W2132994900","doi":"10.1109/wcre.2011.39","title":"An Entropy Evaluation Approach for Triaging Field Crashes: A Case Study of Mozilla Firefox","year":2011,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Crash; Triage; Computer science; Entropy (arrow of time); Computer security; Medicine; Operating system","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":[0.001258941,0.00008398714,0.0001260577,0.0001402468,0.00005476429,0.00004180056,0.0004817396,0.00003491616,0.00002469102],"category_scores_gemma":[0.0005372174,0.00007068991,0.0000342434,0.000249885,0.000007715389,0.0002793974,0.00008330146,0.00006622885,9.197763e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003201184,"about_ca_system_score_gemma":0.00006338057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007852336,"about_ca_topic_score_gemma":0.00002698888,"domain_scores_codex":[0.9987462,0.00009398004,0.000194156,0.0003058084,0.0004669656,0.0001929008],"domain_scores_gemma":[0.9985951,0.0004451676,0.00003937261,0.0006271664,0.0002228574,0.00007038106],"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":[0.000334242,0.01227034,0.3599868,0.0004844519,0.0005412665,0.0005531287,0.1695043,0.01611873,0.004941954,0.004957695,0.001675827,0.4286312],"study_design_scores_gemma":[0.001508533,0.001512495,0.004520057,0.000003978255,0.00001657932,0.00007409458,0.002073685,0.9852742,0.004720447,0.0001609091,0.00000538579,0.0001296463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4866204,0.000008442806,0.5124918,0.000005253608,0.00005143334,0.0006025333,2.411386e-7,0.00008029486,0.000139684],"genre_scores_gemma":[0.8921645,3.388795e-7,0.1075838,0.00001128076,0.00002570907,0.0001905659,6.956583e-7,0.000007212978,0.0000159519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9691555,"threshold_uncertainty_score":0.2882651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1225082338108015,"score_gpt":0.3577473723486759,"score_spread":0.2352391385378744,"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."}}