{"id":"W1513330488","doi":"","title":"Applying data mining to software maintenance records","year":2003,"lang":"en","type":"article","venue":"Conference of the Centre for Advanced Studies on Collaborative Research","topic":"Software Engineering Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Software quality; Data mining; Software maintenance; Software; Quality (philosophy); Software system; Software engineering; Software development; Data science; Programming language","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":[0.005662944,0.001146867,0.001452072,0.008029765,0.001136104,0.002252243,0.002383736,0.001573228,0.0004578116],"category_scores_gemma":[0.035535,0.0007460038,0.001902989,0.008688647,0.0006694162,0.002369281,0.001240122,0.001959445,0.0003950655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001205013,"about_ca_system_score_gemma":0.001481167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01215812,"about_ca_topic_score_gemma":0.01494287,"domain_scores_codex":[0.9956326,0.00157489,0.0007591047,0.0009748534,0.0008727016,0.0001857845],"domain_scores_gemma":[0.9632334,0.02764221,0.002095719,0.00416164,0.002549587,0.0003174121],"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":[0.0009530875,0.001480145,0.1908583,0.0009429288,0.001427148,0.0009245066,0.001477752,0.2493694,0.003808001,0.003229989,0.004094956,0.5414339],"study_design_scores_gemma":[0.00007966432,0.0003397235,0.02300014,0.0001496918,0.0003246116,0.0004731115,0.0008512557,0.9477288,0.006012616,0.01621718,0.004750172,0.00007307174],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5895217,0.001928443,0.3909947,0.001886307,0.0001257037,0.0005687238,0.01085291,0.002567773,0.00155365],"genre_scores_gemma":[0.7006856,0.0007570326,0.2829013,0.0001575592,0.00007105633,0.0002829356,0.01455559,0.00006273816,0.0005262197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01215812,"threshold_uncertainty_score":0.02994889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1793986325428564,"score_gpt":0.4154253981500171,"score_spread":0.2360267656071606,"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."}}