{"id":"W2097510100","doi":"10.1109/wcre.2010.35","title":"From Whence It Came: Detecting Source Code Clones by Analyzing Assembler","year":2010,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; CA Technologies","keywords":"Computer science; Source code; Programming language; Java; Normalization (sociology); Security token; Code (set theory); Open source; Operating system; Software","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001022465,0.0005241193,0.0004719774,0.002647877,0.0005895647,0.001432104,0.00065757,0.0006977032,0.0007742063],"category_scores_gemma":[0.008995345,0.0003438716,0.0004672129,0.001164715,0.0008673283,0.002130321,0.001066409,0.0008995857,0.0007446816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005238843,"about_ca_system_score_gemma":0.0007080798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001432349,"about_ca_topic_score_gemma":0.001634656,"domain_scores_codex":[0.9983998,0.000233809,0.00009164216,0.0003206178,0.0008333258,0.0001207627],"domain_scores_gemma":[0.9939898,0.001722421,0.00105737,0.001327648,0.001735999,0.0001667544],"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":[0.0006070129,0.0002091476,0.1189782,0.000287894,0.0001402016,0.003047061,0.004760216,0.009477037,0.3045583,0.01791907,0.004119304,0.5358966],"study_design_scores_gemma":[0.00003443424,0.0004289105,0.06447715,0.0001189968,0.0002069174,0.004023698,0.001065715,0.2131363,0.6683579,0.01925253,0.02862526,0.0002722247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4676348,0.0003968159,0.5096031,0.0003807623,0.00007985834,0.00007202898,0.0004370406,0.01739193,0.004003662],"genre_scores_gemma":[0.7405483,0.0002081686,0.2528915,0.0002610999,0.00003544524,0.00004828006,0.0008515999,0.002410579,0.002744956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002647877,"threshold_uncertainty_score":0.005407333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01478714588735309,"score_gpt":0.2727150354436737,"score_spread":0.2579278895563206,"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."}}