{"id":"W2888961423","doi":"","title":"Poster: Fast, Scalable and User-Guided Clone Detection","year":2018,"lang":"en","type":"article","venue":"International Conference on Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"clone (Java method); Computer science; Scalability; Source code; Transformation (genetics); Search engine indexing; Jaccard index; Data mining; Artificial intelligence; Database; Programming language; Pattern recognition (psychology); Biology","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":[0.003286183,0.001252335,0.00103381,0.002790507,0.001086064,0.002994463,0.001531181,0.001600482,0.01116396],"category_scores_gemma":[0.01473045,0.0006265796,0.001149366,0.002294814,0.0005030917,0.003225423,0.002479866,0.001718701,0.01048537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000657419,"about_ca_system_score_gemma":0.001119977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00168588,"about_ca_topic_score_gemma":0.002309818,"domain_scores_codex":[0.9967368,0.00047178,0.0002258249,0.0007389254,0.001597131,0.0002294219],"domain_scores_gemma":[0.9847317,0.003701643,0.0006932153,0.004041677,0.005950798,0.0008810789],"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":[0.001171398,0.0003078272,0.01007297,0.0003685773,0.0001673583,0.0004755338,0.0004023893,0.004276995,0.09191373,0.004188235,0.1684864,0.7181686],"study_design_scores_gemma":[0.0004216277,0.00095959,0.02493924,0.0001314275,0.0002759975,0.003367764,0.0004088368,0.4397654,0.3082297,0.02834905,0.1927683,0.0003829993],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03729621,0.0009137244,0.8563816,0.001861908,0.00130575,0.0005584692,0.004554992,0.09009837,0.00702897],"genre_scores_gemma":[0.1518367,0.0004824762,0.7994338,0.0006629296,0.0006251899,0.0003820077,0.01568554,0.005914369,0.02497702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01116396,"threshold_uncertainty_score":0.03734714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0295438719690846,"score_gpt":0.2812903793180453,"score_spread":0.2517465073489608,"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."}}