{"id":"W2145745392","doi":"10.1109/icpc.2007.21","title":"Evaluating Aspect Mining Techniques: A Case Study","year":2007,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Java; Aspect-oriented programming; Data mining; Data science; Software engineering; Software; 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":[0.01184823,0.001014493,0.0008420889,0.002163491,0.002105025,0.001686187,0.002328919,0.00312836,0.0007875417],"category_scores_gemma":[0.029772,0.0005634804,0.0009987858,0.002315989,0.001150258,0.002034789,0.0016479,0.00140895,0.0002978755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001366739,"about_ca_system_score_gemma":0.001252117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002727171,"about_ca_topic_score_gemma":0.006626533,"domain_scores_codex":[0.9900535,0.005697263,0.0006559329,0.0006636494,0.002434539,0.000494996],"domain_scores_gemma":[0.9380235,0.04990202,0.002283793,0.003709107,0.00525822,0.0008233994],"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":[0.003105651,0.01953252,0.09789865,0.004120945,0.0005787417,0.0265254,0.04171297,0.06514499,0.09093215,0.008295398,0.006803316,0.6353492],"study_design_scores_gemma":[0.002775451,0.031422,0.1164281,0.001460893,0.001694327,0.02829341,0.04926128,0.4433231,0.2478137,0.01241664,0.06440061,0.0007104715],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9660406,0.0003432448,0.02878394,0.0005001441,0.00002702353,0.001032608,0.0001396763,0.0001902389,0.002942494],"genre_scores_gemma":[0.8513653,0.0006550595,0.1453272,0.000187465,0.00003062793,0.0006233248,0.0002521109,0.00008635706,0.00147265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01184823,"threshold_uncertainty_score":0.06266016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09750389719500419,"score_gpt":0.4261712976980123,"score_spread":0.3286674005030081,"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."}}