{"id":"W2162436321","doi":"10.1109/icpc.2011.26","title":"The NiCad Clone Detector","year":2011,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":252,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Queen's University","funders":"","keywords":"Computer science; clone (Java method); Directory; XML; Plug-in; Scalability; Normalization (sociology); Operating system; Detector; Programming language; Extensibility","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002332404,0.00003870387,0.00003060584,0.00002129458,0.00007391616,0.00005578724,0.001011436,0.00001705918,0.00003518663],"category_scores_gemma":[0.0002849,0.00002260033,0.00001962541,0.0001784022,0.0000249729,0.00009487384,0.0002304382,0.00008122432,0.0003470689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001161077,"about_ca_system_score_gemma":0.00001973225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003267647,"about_ca_topic_score_gemma":0.000005390781,"domain_scores_codex":[0.9994637,0.00001434591,0.00005753462,0.0001159596,0.0001565657,0.000191941],"domain_scores_gemma":[0.9989722,0.0004134947,0.000006897425,0.0005236794,0.00003032321,0.00005337019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001514275,0.00009731184,0.02642376,0.00001339691,0.0000647138,0.00006206689,0.00204515,0.00001414102,0.003548781,0.4348014,0.02477028,0.5081438],"study_design_scores_gemma":[0.0006304067,0.0004001638,0.7055245,0.00001532331,0.000003762235,0.00006328992,0.00004113451,0.03667879,0.1407346,0.01489656,0.1003445,0.0006669995],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04114068,0.000171615,0.9486863,0.0004344772,0.0004250714,0.00009396339,1.040496e-7,0.0006984262,0.008349375],"genre_scores_gemma":[0.9504689,0.00001109412,0.04760962,0.00004748234,0.00002710744,0.00001202338,2.181219e-8,0.000004668268,0.001819082],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9093282,"threshold_uncertainty_score":0.4460985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03583715506802576,"score_gpt":0.248001798782301,"score_spread":0.2121646437142752,"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."}}