{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001093566,0.00006137721,0.00006135508,0.000039326,0.0002747561,0.0003542971,0.001277099,0.00002255276,0.00002308152],"category_scores_gemma":[0.0002883896,0.00004210366,0.00001349926,0.0000496507,0.00002738553,0.0005285912,0.0004626757,0.0001120298,0.00006285619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001840947,"about_ca_system_score_gemma":0.00003179405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007131668,"about_ca_topic_score_gemma":0.000005507334,"domain_scores_codex":[0.999291,0.000006648884,0.00004938781,0.0001981896,0.0002429992,0.0002117674],"domain_scores_gemma":[0.9984024,0.0001405144,0.00002233836,0.001298535,0.00004032952,0.00009586505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003046781,0.0002179362,0.6984518,0.00008899704,0.0001143786,0.0006149854,0.001932602,0.0009398027,0.05549986,0.1304712,0.01172408,0.09991389],"study_design_scores_gemma":[0.0006225096,0.0001306358,0.926702,0.0001185055,0.000002137039,0.00002991348,0.00001517019,0.005907458,0.05149837,0.0004462655,0.01413216,0.0003948359],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2286384,0.00001915368,0.7608673,0.0007549475,0.0002630774,0.00007820175,3.348289e-7,0.0005525627,0.008826056],"genre_scores_gemma":[0.9196996,0.000002671416,0.0775352,0.00001193326,0.00004521365,0.000009017273,1.12157e-7,0.000006415028,0.002689849],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6910612,"threshold_uncertainty_score":0.3416496,"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."}}