{"id":"W2119016375","doi":"10.1145/1985404.1985421","title":"Visualizing the evolution of code clones","year":2011,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"clone (Java method); Computer science; Visualization; Code (set theory); Software evolution; Set (abstract data type); Programming language; Scalability; Source code; Software; Software engineering; Theoretical computer science; Software development; Data mining; Database; Software construction; Biology; Genetics","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":[0.0007542001,0.0005178492,0.000296142,0.003658981,0.0004581299,0.001486135,0.0004949987,0.0007630446,0.002300572],"category_scores_gemma":[0.004909369,0.0002545119,0.0003893122,0.001997524,0.0003427812,0.002121742,0.001159463,0.0008705661,0.0003022115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003639778,"about_ca_system_score_gemma":0.0003772885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002448673,"about_ca_topic_score_gemma":0.002408607,"domain_scores_codex":[0.9997038,0.00006390474,0.00002203635,0.00007488905,0.0001072246,0.00002799403],"domain_scores_gemma":[0.9966259,0.001728743,0.0005018879,0.0003531822,0.0006141154,0.0001762865],"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":[0.001202924,0.0002111537,0.05334672,0.001076571,0.0002166802,0.002097125,0.01998078,0.04563459,0.1816456,0.03721717,0.0268723,0.6304985],"study_design_scores_gemma":[0.0001758216,0.0005298384,0.09140127,0.0006245365,0.0004132751,0.004047369,0.004939348,0.5576679,0.1580787,0.05713059,0.1246411,0.0003503093],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5202353,0.002445193,0.4348805,0.002604427,0.0002472264,0.0001541532,0.004709753,0.0234003,0.0113232],"genre_scores_gemma":[0.7765018,0.001020392,0.2157071,0.0001638848,0.00007926689,0.00007386085,0.002333623,0.00119076,0.002929236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003658981,"threshold_uncertainty_score":0.007696152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04860956927986116,"score_gpt":0.2898321808132298,"score_spread":0.2412226115333687,"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."}}