{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003521655,0.00008962244,0.00008924216,0.0002217287,0.00009485897,0.0001171788,0.0005006134,0.00002885883,0.00002042085],"category_scores_gemma":[0.0009273579,0.00008037943,0.00002468943,0.0006589926,0.00001102962,0.0001996263,0.0003280279,0.0001410461,0.00002248841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007836443,"about_ca_system_score_gemma":0.00005018136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002170297,"about_ca_topic_score_gemma":0.00005818419,"domain_scores_codex":[0.9986531,0.00004158959,0.0001827367,0.0003138281,0.0004684842,0.000340318],"domain_scores_gemma":[0.9980649,0.001167138,0.00002186881,0.0005560375,0.00009685311,0.00009321541],"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":[0.000005018534,0.0003479459,0.07951062,0.00001794403,0.00004143163,0.02825937,0.01039172,0.0001230924,0.00181413,0.001049829,0.0004478082,0.8779911],"study_design_scores_gemma":[0.005127386,0.01422594,0.1307637,0.0002807972,0.00006580177,0.06497104,0.0455659,0.6010805,0.1308185,0.001040597,0.001844849,0.004215052],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5206809,0.00001032316,0.4774628,0.00001558437,0.0000546188,0.0001943165,2.809266e-8,0.0007373276,0.0008440793],"genre_scores_gemma":[0.6626616,8.26801e-8,0.3371023,0.00002042185,0.00003908332,0.00001325166,3.6333e-8,0.000006787373,0.0001564637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.873776,"threshold_uncertainty_score":0.3277778,"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."}}