{"id":"W4237642263","doi":"10.1109/iwsc.2013.6613048","title":"How much really changes? A case study of firefox version evolution using a clone detector","year":2013,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"clone (Java method); Detector; Computer science; Code (set theory); Software evolution; Software; Programming language; Biology; Software development; Set (abstract data type); Gene; Telecommunications; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005712915,0.0003708613,0.0004123112,0.002337414,0.001179572,0.001041548,0.001004973,0.00112049,0.0003338025],"category_scores_gemma":[0.02268793,0.000311133,0.0005643457,0.00227494,0.001034484,0.001371792,0.0007617573,0.001135707,0.00008021847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001087941,"about_ca_system_score_gemma":0.0005797275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009706941,"about_ca_topic_score_gemma":0.01477147,"domain_scores_codex":[0.9960328,0.00166661,0.0002611269,0.0006530961,0.001137145,0.0002492763],"domain_scores_gemma":[0.9574653,0.0331201,0.002926608,0.002905651,0.002788065,0.0007942352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009248998,0.001585006,0.6372669,0.0005690166,0.0003879512,0.0197015,0.03427148,0.03654783,0.05758592,0.005503268,0.002877464,0.2027788],"study_design_scores_gemma":[0.0001931557,0.002313753,0.6868048,0.0001632838,0.0004112262,0.0118596,0.01200372,0.2033402,0.06156756,0.004534586,0.01652109,0.0002870553],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995234,0.0001215512,0.00380682,0.0001088778,0.000006023335,0.0000414384,0.00008914652,0.00006841303,0.0005238368],"genre_scores_gemma":[0.9815968,0.0001080238,0.01729309,0.00005159594,0.000008907225,0.00002696908,0.0002384103,0.00006059044,0.0006157898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009706941,"threshold_uncertainty_score":0.03021312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03281116254218356,"score_gpt":0.2684347818150926,"score_spread":0.2356236192729091,"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."}}