{"id":"W6968793479","doi":"10.5281/zenodo.7229976","title":"Ranking Code Clones to Support Maintenance Activities","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Software Engineering Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Code (set theory); Ranking (information retrieval); Replication (statistics); Software maintenance; Key (lock)","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":[0.003424931,0.001750446,0.001326631,0.004347663,0.0009066469,0.002428512,0.001685249,0.001488395,0.01078454],"category_scores_gemma":[0.03903246,0.0006775038,0.00125504,0.002714269,0.0005282286,0.002847152,0.001643596,0.00125849,0.005091331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008649082,"about_ca_system_score_gemma":0.001931106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002541,"about_ca_topic_score_gemma":0.002799051,"domain_scores_codex":[0.9934458,0.0011849,0.0004181075,0.0007541435,0.00377447,0.0004226932],"domain_scores_gemma":[0.9641376,0.009360483,0.002832392,0.01076893,0.01167617,0.001224442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001021871,0.0004119445,0.01269324,0.0007147473,0.0001256169,0.0003790778,0.0004332133,0.02121242,0.09011524,0.01681635,0.05376019,0.8023161],"study_design_scores_gemma":[0.0007719795,0.002172306,0.01993359,0.0005326344,0.000553425,0.002096176,0.0006754076,0.4736069,0.2404346,0.06052601,0.198268,0.0004289493],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09433471,0.001378072,0.8175738,0.001059559,0.0009817254,0.001331456,0.003989878,0.06376469,0.01558606],"genre_scores_gemma":[0.3322397,0.0007615129,0.6295053,0.0003618571,0.0003782166,0.0006779375,0.01175006,0.009185008,0.0151405],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01078454,"threshold_uncertainty_score":0.03607786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03099441018620133,"score_gpt":0.2473394151671708,"score_spread":0.2163450049809695,"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."}}