{"id":"W4247511377","doi":"10.1109/iwpse.2004.1334772","title":"Aiding comprehension of cloning through categorization","year":2004,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"clone (Java method); Program comprehension; Computer science; Software maintenance; False positive paradox; Cloning (programming); Function (biology); Programming language; Software; Source code; Filter (signal processing); Set (abstract data type); Software system; Artificial intelligence; Biology; Genetics; 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":[0.01059767,0.001170271,0.001433517,0.007374896,0.00127172,0.005299308,0.002866602,0.002878021,0.00258685],"category_scores_gemma":[0.08051569,0.0006857828,0.0008845769,0.003685286,0.001336948,0.01266029,0.003666606,0.00181645,0.001185239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001394104,"about_ca_system_score_gemma":0.002305246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00250652,"about_ca_topic_score_gemma":0.002398175,"domain_scores_codex":[0.9897077,0.004713917,0.001059772,0.001692951,0.002357809,0.000467912],"domain_scores_gemma":[0.8984673,0.06976333,0.006296053,0.01123264,0.01322002,0.001020605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005756726,0.00047371,0.04897824,0.001124961,0.000106529,0.0007507824,0.02438098,0.00656057,0.06553096,0.02246205,0.007231837,0.8218237],"study_design_scores_gemma":[0.0001735549,0.001496588,0.0559945,0.001088759,0.0004302195,0.006034042,0.01928872,0.4856389,0.1492509,0.1721708,0.1078199,0.0006130856],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.243164,0.0008045321,0.7349719,0.001740964,0.00008839491,0.0004220443,0.0005572906,0.01295031,0.005300499],"genre_scores_gemma":[0.4767395,0.0004648731,0.5176163,0.0004774235,0.00005720273,0.0002531493,0.001519362,0.0005485961,0.002323698],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01059767,"threshold_uncertainty_score":0.05604655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02673080414723087,"score_gpt":0.2748554369435063,"score_spread":0.2481246327962754,"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."}}