{"id":"W2136128399","doi":"10.1109/wcre.2008.54","title":"An Empirical Study of Function Clones in Open Source Software","year":2008,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":137,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"clone (Java method); Cloning (programming); Java; Source code; Computer science; Open source; Benchmark (surveying); Software maintenance; Function (biology); Linux kernel; Kernel (algebra); Identification (biology); Software system; Software; Operating system; Programming language; Biology; Genetics; Gene; 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":[0.006659739,0.0003040947,0.0003006358,0.003674684,0.0006922355,0.00111179,0.0008423084,0.0006962426,0.0007485802],"category_scores_gemma":[0.08792744,0.0002920425,0.0002862978,0.003298744,0.001679485,0.002373401,0.001468674,0.0008555268,0.0002154324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007346639,"about_ca_system_score_gemma":0.0005461895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002146356,"about_ca_topic_score_gemma":0.003140882,"domain_scores_codex":[0.9888946,0.004068847,0.001024695,0.001669383,0.003958193,0.0003842409],"domain_scores_gemma":[0.7726737,0.1636694,0.02968833,0.01286189,0.01930715,0.001799515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001215325,0.0001928174,0.9653299,0.0001208456,0.0000675113,0.0003044785,0.004564474,0.0006884688,0.002267631,0.0005064374,0.0003120399,0.02552384],"study_design_scores_gemma":[0.00001711771,0.0005069185,0.9755636,0.00007569172,0.00006139788,0.002142753,0.004900076,0.008270704,0.005298106,0.0004755305,0.002651147,0.00003704831],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977756,0.0001310738,0.001528082,0.00003323614,0.000001189903,0.00002142339,0.0001166983,0.00001808988,0.0003745487],"genre_scores_gemma":[0.996991,0.00008898145,0.002263835,0.00001971845,0.000003625234,0.00003107768,0.0003855963,0.00001526862,0.0002007107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006659739,"threshold_uncertainty_score":0.03522044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05894628892791417,"score_gpt":0.3411032909814559,"score_spread":0.2821570020535417,"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."}}