{"id":"W1967388635","doi":"10.1109/icsme.2014.113","title":"Model Clone Detector Evaluation Using Mutation Analysis","year":2014,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"clone (Java method); Computer science; Software engineering; Software maintenance; Precision and recall; Unified Modeling Language; Implementation; Software; Programming language; Data mining; Software system; Machine learning; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093396,0.00005367316,0.00007706055,0.00030426,0.00004632735,0.00008890858,0.0002613104,0.0000281062,0.00002120491],"category_scores_gemma":[0.0005763652,0.00005069315,0.0000443901,0.00104987,0.000006543919,0.0002683556,0.00006397044,0.00004835963,0.00002041142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008934158,"about_ca_system_score_gemma":0.00004605427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004476985,"about_ca_topic_score_gemma":0.000009780971,"domain_scores_codex":[0.9989744,0.00005928084,0.0001003586,0.0002095361,0.0005161358,0.000140244],"domain_scores_gemma":[0.9991773,0.0002055901,0.00002245185,0.0003605996,0.000185067,0.00004900645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[4.217151e-7,0.000005369381,0.0009165978,0.0000020267,0.00002773628,2.0123e-7,0.00007102443,0.9747514,0.00237261,0.0007798115,0.000009663837,0.02106312],"study_design_scores_gemma":[0.00009363997,0.0000100602,0.006301746,0.00000115801,0.00003791606,8.755074e-7,0.00000116894,0.9904686,0.002112583,0.0009062498,0.000002576706,0.00006345492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.332823,0.000006417999,0.6668565,0.00003141988,0.0000318223,0.00005210828,1.025899e-7,0.000125233,0.00007347864],"genre_scores_gemma":[0.7521923,1.758353e-7,0.2477283,0.00002146434,0.00001558392,0.00000608082,0.000001375694,0.000003279446,0.00003140364],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4193693,"threshold_uncertainty_score":0.2067207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06481390715856372,"score_gpt":0.3367874458930243,"score_spread":0.2719735387344606,"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."}}