{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004525128,0.0001411023,0.0001398046,0.0001030323,0.0001380134,0.000382602,0.001268576,0.00009348083,0.000110693],"category_scores_gemma":[0.001096501,0.0001320093,0.00004567267,0.0004529353,0.00003111068,0.0004518144,0.0004231659,0.0005396188,0.0001604825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000278244,"about_ca_system_score_gemma":0.0000455618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001159748,"about_ca_topic_score_gemma":0.0002280357,"domain_scores_codex":[0.998457,0.00003147067,0.0001807665,0.0004877364,0.0004078335,0.0004351693],"domain_scores_gemma":[0.9975421,0.001398606,0.00004117566,0.0007633546,0.00008940249,0.0001653395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000004827617,0.00007107615,0.1375668,0.00002359189,0.0000720553,0.00003401186,0.002524132,0.001118097,0.6920041,0.0004261971,0.0261138,0.1400413],"study_design_scores_gemma":[0.0005935801,0.00007787033,0.02326216,0.00006820627,0.00001282869,0.00003792363,0.0001761409,0.46187,0.4644824,0.0008184438,0.04748095,0.001119467],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3984977,0.00003768707,0.6000807,0.0004894581,0.0002948376,0.00004285811,0.000001297017,0.0004231785,0.0001322874],"genre_scores_gemma":[0.9084077,0.000003042039,0.09027192,0.0001104958,0.0001423611,0.00000962995,0.000001324325,0.00001732481,0.001036172],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.50991,"threshold_uncertainty_score":0.5383183,"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."}}