{"id":"W2620436109","doi":"10.1109/icse.2017.14","title":"Clone Refactoring with Lambda Expressions","year":2017,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Code refactoring; Lambda; clone (Java method); Java; Computer science; Programming language; Code (set theory); Software; Artificial intelligence; Biology; Physics; Genetics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008585944,0.001340007,0.0008911862,0.002605301,0.0008359274,0.001431791,0.002115522,0.001262356,0.001261567],"category_scores_gemma":[0.04989153,0.0007198869,0.001724505,0.00204334,0.001180953,0.002297405,0.002895448,0.001874206,0.0009129865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001015891,"about_ca_system_score_gemma":0.002174154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002983826,"about_ca_topic_score_gemma":0.003871362,"domain_scores_codex":[0.9922431,0.001860215,0.0008865197,0.001533759,0.002981323,0.0004949329],"domain_scores_gemma":[0.9590719,0.01564849,0.00406911,0.01407071,0.006695126,0.0004445433],"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":[0.0008466021,0.0006608106,0.1065617,0.002041932,0.0005735405,0.002258206,0.005262765,0.05279479,0.1526512,0.01323576,0.01251317,0.6505996],"study_design_scores_gemma":[0.0003679096,0.001548506,0.05945129,0.001037044,0.001644264,0.003621836,0.002382899,0.4199524,0.3229306,0.03365618,0.1529211,0.0004860499],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4281684,0.001930938,0.5270916,0.0006291054,0.0002092752,0.0007906238,0.001822793,0.03450031,0.004856892],"genre_scores_gemma":[0.4429299,0.000809828,0.53899,0.0004345216,0.00006450981,0.0005212849,0.004879639,0.005659013,0.005711249],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008585944,"threshold_uncertainty_score":0.04540735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.033987259146658,"score_gpt":0.2982540105640026,"score_spread":0.2642667514173446,"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."}}