{"id":"W4393035092","doi":"10.1109/iwsc60764.2023.00012","title":"TransClone: A Language Agnostic Code Clone Detector","year":2023,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Programming language; Code (set theory); clone (Java method); Detector; Natural language processing; Telecommunications; Set (abstract data type); 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":[0.001533832,0.002472727,0.001228734,0.005809843,0.0006270273,0.001938714,0.003516502,0.001956539,0.002657151],"category_scores_gemma":[0.00837499,0.000786485,0.001756143,0.002709667,0.0007234921,0.003908365,0.00303512,0.001741818,0.003806372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001225762,"about_ca_system_score_gemma":0.001515656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007326318,"about_ca_topic_score_gemma":0.01135017,"domain_scores_codex":[0.9974974,0.0002284352,0.0001728422,0.0009812035,0.0009484192,0.0001716367],"domain_scores_gemma":[0.9962718,0.001136807,0.0003464275,0.001009658,0.00110029,0.0001350132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006512128,0.0004501095,0.03365283,0.001560686,0.0005256613,0.001062055,0.0005726043,0.02458147,0.04698144,0.006876575,0.2260856,0.6569996],"study_design_scores_gemma":[0.0002185303,0.0004596685,0.01354136,0.0002564658,0.0003041555,0.003020289,0.0003378331,0.6360592,0.1339668,0.02011007,0.1914922,0.0002333896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08229727,0.003192886,0.5017503,0.0007763682,0.0006338573,0.0007072432,0.02972835,0.3719537,0.008959931],"genre_scores_gemma":[0.216469,0.00110464,0.6388085,0.001454397,0.0001757785,0.0009790803,0.1106517,0.01295005,0.01740676],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007326318,"threshold_uncertainty_score":0.01456732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01803039058598823,"score_gpt":0.2792375145159867,"score_spread":0.2612071239299985,"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."}}