{"id":"W3023991692","doi":"","title":"Clones and Macro-Co-Changes","year":2014,"lang":"en","type":"article","venue":"VUBIR (Vrije Universiteit Brussel)","topic":"Software Engineering Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Macro; clone (Java method); Commit; Computer science; Cloning (programming); Biology; Genetics; Programming language; Database; 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":[0.004334417,0.0004618644,0.0005356917,0.003886643,0.0009161962,0.002079614,0.0009385729,0.001030129,0.00269326],"category_scores_gemma":[0.0579808,0.0004184944,0.0004025612,0.003751482,0.002021292,0.004430674,0.002228261,0.0008910185,0.0004852927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009731663,"about_ca_system_score_gemma":0.0008627332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002795374,"about_ca_topic_score_gemma":0.002865189,"domain_scores_codex":[0.987264,0.00214688,0.001389646,0.002772257,0.005663128,0.0007639071],"domain_scores_gemma":[0.8384292,0.0871513,0.04133681,0.01843091,0.0117402,0.002911594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006730686,0.0001416946,0.8501691,0.0003551066,0.000256318,0.0008415641,0.003205418,0.003274773,0.01020393,0.009627788,0.00121777,0.1200335],"study_design_scores_gemma":[0.00003414567,0.0006693975,0.9211828,0.0001606169,0.0002624235,0.004594386,0.003309984,0.01989269,0.01673312,0.01788193,0.01516583,0.0001127939],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9554046,0.001022685,0.03555438,0.0001988383,0.00004468369,0.0002019161,0.0008903106,0.0005997245,0.006082936],"genre_scores_gemma":[0.9868979,0.0001601285,0.01062085,0.00005783906,0.00003222663,0.00009326062,0.0005052171,0.00009850717,0.001534005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004334417,"threshold_uncertainty_score":0.02292287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007667919469674493,"score_gpt":0.2142794279402574,"score_spread":0.206611508470583,"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."}}