{"id":"W4224436806","doi":"10.1007/s10664-022-10133-6","title":"Revisiting reopened bugs in open source software systems","year":2022,"lang":"en","type":"article","venue":"Empirical Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Huawei Technologies (Canada); Queen's University","funders":"","keywords":"Software bug; Rework; Documentation; Pipeline (software); Software; Open source; Computer science; Software engineering; Engineering; Computer security; Operating system; Embedded 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009264235,0.0004147838,0.0003951103,0.005510991,0.001350865,0.003540713,0.001573185,0.001430043,0.004883011],"category_scores_gemma":[0.2352341,0.000434174,0.0005092422,0.003440536,0.003009173,0.00903983,0.002717203,0.002719958,0.0004302113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002027552,"about_ca_system_score_gemma":0.002859851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01078349,"about_ca_topic_score_gemma":0.01611001,"domain_scores_codex":[0.992003,0.002235352,0.0007930174,0.001127746,0.003358063,0.0004828284],"domain_scores_gemma":[0.6880831,0.2133429,0.03897568,0.02258693,0.03441202,0.002599438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006459558,0.0009532452,0.5711127,0.001411954,0.0002521319,0.002048718,0.03538069,0.004958433,0.007682009,0.04702421,0.007210461,0.3213195],"study_design_scores_gemma":[0.0001140184,0.0009318228,0.7758359,0.002378183,0.0004984571,0.002439709,0.03611775,0.03834596,0.01063338,0.09543817,0.03705132,0.0002152739],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9741431,0.001590177,0.01200965,0.002549955,0.000165854,0.00005693087,0.0002670693,0.000217452,0.008999792],"genre_scores_gemma":[0.992845,0.0003808632,0.004713324,0.0002024258,0.00006045835,0.00001596871,0.0002427354,0.0001510893,0.001388082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01078349,"threshold_uncertainty_score":0.04899454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03242953496458023,"score_gpt":0.292634269946243,"score_spread":0.2602047349816628,"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."}}