{"id":"W1989130222","doi":"10.1109/wcre.2007.15","title":"Clone Detection via Structural Abstraction","year":2007,"lang":"en","type":"article","venue":"Proceedings - Working Conference on Reverse Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Abstraction; Programming language; Computer science; Compiler; Cloning (programming); clone (Java method); Syntax; Representation (politics); Intermediate language; Code (set theory); Theoretical computer science; Abstract syntax tree; Code generation; Line (geometry); Algorithm; Artificial intelligence; Parsing; Mathematics; Operating system; Biology; Genetics","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":[0.002416631,0.0008420484,0.0009097881,0.004832142,0.001208707,0.002200092,0.002154152,0.001211913,0.00177783],"category_scores_gemma":[0.01993142,0.0007827578,0.001243227,0.002491919,0.001713354,0.003442009,0.003571564,0.001541139,0.001194735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009728053,"about_ca_system_score_gemma":0.001940855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002236491,"about_ca_topic_score_gemma":0.002639522,"domain_scores_codex":[0.9953637,0.0008703571,0.00029148,0.001000321,0.002149606,0.000324474],"domain_scores_gemma":[0.9839603,0.006027208,0.002437747,0.004300371,0.002989181,0.0002850862],"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":[0.0003648801,0.00014347,0.03398653,0.0004633463,0.0001732436,0.0007197058,0.002895117,0.02129128,0.07697089,0.07043408,0.006851898,0.7857056],"study_design_scores_gemma":[0.0001063548,0.0003596894,0.01551608,0.0001977938,0.0003179408,0.002661018,0.0006774236,0.5714762,0.1823882,0.16604,0.06005545,0.000203899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03416072,0.0002196927,0.9575054,0.0001064319,0.00003796174,0.00009841045,0.0001623288,0.006146358,0.001562698],"genre_scores_gemma":[0.23636,0.0002281818,0.7577814,0.0001653607,0.00004862558,0.0001939637,0.001085305,0.001201048,0.002936119],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004832142,"threshold_uncertainty_score":0.01278049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02281679062459205,"score_gpt":0.2538246328404317,"score_spread":0.2310078422158396,"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."}}