{"id":"W2149423951","doi":"10.1109/icsme.2014.66","title":"Interactive Visualization of Bug Reports Using Topic Evolution and Extractive Summaries","year":2014,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Software bug; Visualization; Software; Software engineering; Software maintenance; Security bug; Data science; Software visualization; Software development; Software construction; Data mining; Programming language; Software security assurance; Computer security","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":[0.0002347075,0.00004945524,0.00007711083,0.0001045742,0.00003272817,0.00004355869,0.00007832918,0.00002763591,0.000005065],"category_scores_gemma":[0.000887191,0.00004629916,0.0000123367,0.0001756281,0.00002890961,0.0005106488,0.0001121481,0.00004596187,5.8345e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005491263,"about_ca_system_score_gemma":0.00002896211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001687636,"about_ca_topic_score_gemma":0.000005206826,"domain_scores_codex":[0.999423,0.00003814279,0.0001250851,0.0001672831,0.0001552687,0.00009119584],"domain_scores_gemma":[0.9992127,0.000377185,0.0000628711,0.0001869139,0.0001313671,0.00002899409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002056155,0.0001250449,0.7541066,0.0001365606,0.00006471713,0.00002177765,0.003483682,0.002489389,0.02966921,0.1808799,0.0001702223,0.02883233],"study_design_scores_gemma":[0.0001465604,0.0001098157,0.4665965,0.00006099861,0.000005548085,0.00007133601,0.00006808675,0.499176,0.02607688,0.007247801,0.0002813123,0.0001591116],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3252114,0.00002005602,0.6743629,0.00001598994,0.0001095042,0.0000449747,8.308213e-8,0.00004969176,0.0001853439],"genre_scores_gemma":[0.9826307,0.000001337021,0.0172735,0.000005737266,0.00002078592,0.000001978693,6.370181e-7,0.000003437551,0.00006187742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6574193,"threshold_uncertainty_score":0.1888025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01568546861017836,"score_gpt":0.2992397778062156,"score_spread":0.2835543091960373,"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."}}