{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002796228,0.00131029,0.001564147,0.003678428,0.001123177,0.002734048,0.0025524,0.00116491,0.009987331],"category_scores_gemma":[0.01023876,0.001068721,0.0009992084,0.002059954,0.0005997519,0.001976596,0.002389035,0.00165439,0.008920169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001486891,"about_ca_system_score_gemma":0.00211127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003851269,"about_ca_topic_score_gemma":0.004006899,"domain_scores_codex":[0.9956905,0.0003518021,0.0002353577,0.001172024,0.002259424,0.0002908775],"domain_scores_gemma":[0.993624,0.001523802,0.0006386733,0.001725981,0.002188534,0.0002989143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001293548,0.0002837987,0.0302046,0.001089488,0.0003033766,0.001095481,0.0009180229,0.007127778,0.09786918,0.01722746,0.3928415,0.4497458],"study_design_scores_gemma":[0.0002125341,0.0002384632,0.01526956,0.0002115261,0.0002481326,0.002753258,0.0003765463,0.2035641,0.2954047,0.01016668,0.4711575,0.0003971061],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04119214,0.00104106,0.5326507,0.0004104545,0.0004671802,0.0006805922,0.01734763,0.3810874,0.02512283],"genre_scores_gemma":[0.1557967,0.0006760052,0.7376829,0.0007485015,0.0001489711,0.001998179,0.04524156,0.02714653,0.03056064],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009987331,"threshold_uncertainty_score":0.03341091,"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."}}