{"id":"W7117117068","doi":"10.1145/3756681.3756994","title":"BugsRepo: A Comprehensive Curated Dataset of Bug Reports, Comments and Contributors Information from Bugzilla","year":2025,"lang":"","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Security bug; Software bug; Software; Key (lock); Software maintenance; Software regression","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":[0.002295996,0.001879712,0.0008565277,0.01055169,0.001253712,0.001393798,0.002330466,0.002407505,0.003541558],"category_scores_gemma":[0.01735503,0.0007874089,0.001176991,0.006493106,0.0007118308,0.001733188,0.003362382,0.001962764,0.006215985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00128104,"about_ca_system_score_gemma":0.003393792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0180091,"about_ca_topic_score_gemma":0.04097845,"domain_scores_codex":[0.9961267,0.0005969855,0.0006090712,0.0009881465,0.00137956,0.0002995583],"domain_scores_gemma":[0.9850739,0.003817954,0.003186735,0.003269741,0.003274818,0.001376857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000825398,0.0005750831,0.060292,0.004104775,0.000383085,0.0008069315,0.001390756,0.002919589,0.01054446,0.002311165,0.8397614,0.07608549],"study_design_scores_gemma":[0.0005874636,0.0003935678,0.1859784,0.0005749105,0.000265547,0.001326491,0.0005869383,0.01083676,0.008534944,0.002617026,0.7880029,0.0002949918],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03572261,0.001497203,0.00531038,0.0005473654,0.0002073028,0.0003493472,0.9372361,0.01537819,0.003751505],"genre_scores_gemma":[0.01657134,0.0002429679,0.009680734,0.00012796,0.00004104598,0.0004582734,0.971029,0.0006234283,0.001225253],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0180091,"threshold_uncertainty_score":0.03580856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01294485671443602,"score_gpt":0.2832649274228555,"score_spread":0.2703200707084195,"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."}}