{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003514334,0.001748417,0.001930898,0.001751509,0.0010154,0.001797777,0.002070202,0.002860787,0.003552276],"category_scores_gemma":[0.01127845,0.001026951,0.0016111,0.002016418,0.001364719,0.002919094,0.001710286,0.002317345,0.0007082141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001459739,"about_ca_system_score_gemma":0.001608737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003035929,"about_ca_topic_score_gemma":0.001999571,"domain_scores_codex":[0.9968465,0.001089854,0.0002189669,0.0007421959,0.0007652487,0.000337096],"domain_scores_gemma":[0.9916092,0.006441229,0.0006417105,0.0004390461,0.0006860507,0.0001827219],"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":[0.0004464229,0.000517481,0.004016393,0.0007516705,0.0002413525,0.0005656575,0.0004268992,0.5484427,0.01425008,0.03315549,0.008935384,0.3882505],"study_design_scores_gemma":[0.0001200362,0.0002453311,0.001303557,0.00007300569,0.0001271753,0.0003823455,0.0001652426,0.937874,0.006356665,0.04796789,0.005343416,0.00004148487],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06352489,0.0007133224,0.9294559,0.001409376,0.00006374138,0.0002980968,0.0002690913,0.0007050977,0.003560473],"genre_scores_gemma":[0.1797554,0.0004059013,0.8127128,0.0003280321,0.00007209167,0.0003808817,0.0005986224,0.0004315356,0.005314693],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003552276,"threshold_uncertainty_score":0.0185858,"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."}}