{"id":"W2138133615","doi":"10.1109/csmr.2012.51","title":"Using Topic Models to Support Software Maintenance","year":2012,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Software maintenance; Computer science; Software development; Topic model; Software engineering; Software; Data science; Information retrieval; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002786791,0.00009112098,0.00009297248,0.0001036899,0.000046907,0.00007029587,0.0006681078,0.00003552832,0.00006168585],"category_scores_gemma":[0.0001738792,0.00008077903,0.00003236705,0.0003519492,0.000009713684,0.0007794293,0.0004147073,0.00009150423,0.0002230654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009208437,"about_ca_system_score_gemma":0.00005135207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004269689,"about_ca_topic_score_gemma":0.000001472589,"domain_scores_codex":[0.998798,0.00001310865,0.00010942,0.0002052015,0.0002871479,0.0005871082],"domain_scores_gemma":[0.9989935,0.0001323626,0.00001099355,0.0005294914,0.00006686241,0.0002667636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001376699,0.0003771269,0.2100898,0.0001711493,0.00008370878,0.0001082562,0.008811217,0.1150079,0.003509566,0.3898409,0.05567395,0.2163127],"study_design_scores_gemma":[0.001256086,0.0004829436,0.08049448,0.0001609889,0.00001516793,0.0004793387,0.0001348164,0.8232154,0.01965867,0.01429396,0.05718661,0.00262155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03393776,0.00002666704,0.9642427,0.0001479996,0.0003930661,0.0001067172,5.784371e-7,0.0004159332,0.0007285924],"genre_scores_gemma":[0.5655119,6.379532e-7,0.4329035,0.0002710252,0.00005485956,0.000007026179,2.211413e-7,0.00000771275,0.001243154],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7082075,"threshold_uncertainty_score":0.3294073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09778445977607259,"score_gpt":0.3161165304156153,"score_spread":0.2183320706395427,"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."}}