{"id":"W2109580177","doi":"10.1016/j.scico.2013.11.027","title":"An insight into the dispersion of changes in cloned and non-cloned code: A genealogy based empirical study","year":2013,"lang":"en","type":"article","venue":"Science of Computer Programming","topic":"Software Engineering Research","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Code (set theory); Cloning (programming); Empirical research; Genealogy; Programming language; History; Statistics; Mathematics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004982007,0.0001212954,0.0003933022,0.004113319,0.001033116,0.001779674,0.001132221,0.001047466,0.004116815],"category_scores_gemma":[0.07162661,0.0002996181,0.0002501338,0.00439915,0.003545853,0.004208814,0.00157934,0.001182401,0.0004101551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009127863,"about_ca_system_score_gemma":0.0003869108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006021489,"about_ca_topic_score_gemma":0.005679198,"domain_scores_codex":[0.9973538,0.001192412,0.0001687154,0.0005744431,0.0005223053,0.0001883406],"domain_scores_gemma":[0.9056657,0.07394291,0.01060912,0.005849006,0.002633889,0.001299343],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002425522,0.0001707967,0.9300351,0.00005418011,0.0001578372,0.0004749513,0.01214402,0.005042598,0.001930153,0.02707954,0.0005389222,0.02212925],"study_design_scores_gemma":[0.00002773917,0.0002806723,0.9229248,0.00006397406,0.00008734792,0.002107769,0.01241327,0.02348125,0.001337465,0.0339842,0.003228312,0.00006328129],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956661,0.0001832002,0.001825826,0.0001845594,0.000002439722,0.000006047384,0.0001058457,0.00001403749,0.002011688],"genre_scores_gemma":[0.9989592,0.00005988957,0.0004522369,0.00002020796,0.000004165542,0.000003891011,0.00008835486,0.00001056693,0.000401384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.995018,"threshold_uncertainty_score":0.0263477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02139409513525516,"score_gpt":0.3106982517246645,"score_spread":0.2893041565894094,"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."}}