{"id":"W4366990909","doi":"10.1007/s10664-023-10292-0","title":"Ranking code clones to support maintenance activities","year":2023,"lang":"en","type":"article","venue":"Empirical Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; Queen's University","funders":"","keywords":"clone (Java method); Code refactoring; Software maintenance; Commit; Computer science; Java; Code (set theory); Software evolution; Code reuse; Programming language; Software quality; Software system; Software development; Software; Database; Biology; Software construction; Genetics; Gene","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":[0.001711905,0.0007126986,0.0005004659,0.005810977,0.0005086603,0.00137536,0.0008666951,0.001088642,0.001689103],"category_scores_gemma":[0.03272715,0.0002392337,0.0005256946,0.002453851,0.0003179135,0.001850407,0.0005179546,0.0005350569,0.0006609417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007971598,"about_ca_system_score_gemma":0.001615535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004368438,"about_ca_topic_score_gemma":0.01097018,"domain_scores_codex":[0.9971496,0.0005845953,0.0001969168,0.0003912242,0.001434005,0.0002435552],"domain_scores_gemma":[0.9612538,0.01923084,0.005149049,0.003399207,0.009621818,0.001345402],"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":[0.001470075,0.0007238979,0.4286513,0.0004813742,0.0002257458,0.0002882001,0.0004482186,0.01597231,0.0391219,0.001938773,0.006659238,0.5040189],"study_design_scores_gemma":[0.0004354808,0.003972293,0.395521,0.0002306366,0.0008973748,0.001632816,0.001404954,0.4984501,0.07879375,0.008656189,0.009847863,0.0001574114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732224,0.0007564324,0.02053167,0.0002225244,0.00004641489,0.00010598,0.0007702247,0.002245225,0.00209906],"genre_scores_gemma":[0.9677697,0.0001468938,0.02880452,0.00004194994,0.00002409405,0.00003648256,0.001823573,0.0001670525,0.001185733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005810977,"threshold_uncertainty_score":0.009053528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03687503454571046,"score_gpt":0.3080833253675743,"score_spread":0.2712082908218639,"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."}}