{"id":"W2068059071","doi":"10.1145/1985404.1985423","title":"Towards flexible code clone detection, management, and refactoring in IDE","year":2011,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Code refactoring; Computer science; clone (Java method); Programming language; Software maintenance; Code (set theory); Plug-in; Eclipse; Source code; Java; Software engineering; Software development; Software; Set (abstract data type)","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":[0.0002445973,0.00006521599,0.00006493881,0.0002034723,0.00002872701,0.00004972906,0.0003248591,0.00002645876,0.00001888087],"category_scores_gemma":[0.00005152437,0.00006218885,0.00001033808,0.0004020728,0.00001331867,0.0002875733,0.0003073254,0.00009484568,0.00002279492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004499796,"about_ca_system_score_gemma":0.000008042816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002791568,"about_ca_topic_score_gemma":0.00004544712,"domain_scores_codex":[0.9992898,0.00001265577,0.00009748215,0.0002313948,0.0001511127,0.0002175486],"domain_scores_gemma":[0.9995768,0.00004165948,0.000009921274,0.0002904318,0.00001977109,0.00006139879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00003404384,0.0001697951,0.3340707,0.0002683761,0.00008406764,0.0002902636,0.004202937,0.0001775942,0.004138014,0.09575184,0.0005037889,0.5603086],"study_design_scores_gemma":[0.0003484646,0.00005647574,0.9333956,0.00002197142,0.000001462137,0.00001324894,0.00003173819,0.004944735,0.05596994,0.003416633,0.001616896,0.0001828495],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1498264,0.00006316296,0.8407831,0.00002986893,0.0001697209,0.00009585036,1.622749e-7,0.0004074908,0.008624298],"genre_scores_gemma":[0.9241089,0.00003032035,0.07479487,0.00001810592,0.00001179258,0.00001436514,7.173723e-8,0.000006335583,0.001015235],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7742825,"threshold_uncertainty_score":0.2535987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05012460558356874,"score_gpt":0.2730964965465599,"score_spread":0.2229718909629912,"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."}}