{"id":"W2016902117","doi":"10.1109/icsm.2013.47","title":"Refactoring Clones: An Optimization Problem","year":2013,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Code refactoring; Reusability; Computer science; Matching (statistics); Process (computing); Software; Identifier; Programming language; Software maintenance; Software system; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000107169,0.00005590206,0.00004615966,0.00007188263,0.00003844757,0.0002393367,0.0004821981,0.00002821186,0.0001329968],"category_scores_gemma":[0.0000691965,0.00004765834,0.00001109262,0.0002514097,0.00000649783,0.001200734,0.0001175934,0.00006600144,0.00017021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003148718,"about_ca_system_score_gemma":0.00002032228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001244482,"about_ca_topic_score_gemma":9.982489e-7,"domain_scores_codex":[0.9993354,0.00001504277,0.00008093469,0.0001920463,0.0001876554,0.0001888889],"domain_scores_gemma":[0.9993497,0.0000822947,0.00001089891,0.0003750687,0.00008759681,0.00009440164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000135645,0.000151405,0.03218866,0.00006165732,0.00002188485,0.000008892624,0.001597947,0.7697604,0.00378313,0.03309475,0.002925222,0.1564047],"study_design_scores_gemma":[0.00009474871,0.00005774418,0.01095503,0.000007368636,3.777896e-7,0.000004373421,0.00001164496,0.9859926,0.001679749,0.0006750736,0.0003827679,0.0001385166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02575743,0.000007541164,0.9720072,0.0001813162,0.00009596466,0.0001366856,4.592104e-8,0.000695046,0.001118759],"genre_scores_gemma":[0.4281232,0.000002012285,0.571403,0.00002353734,0.0000306502,0.00002838881,8.223958e-7,0.000006455431,0.0003819218],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4023657,"threshold_uncertainty_score":0.230793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01925555928574199,"score_gpt":0.2554330205148758,"score_spread":0.2361774612291338,"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."}}