{"id":"W7125651331","doi":"10.1109/cascon66301.2025.00128","title":"A Fully Automated Agent for End-to-End Code Translation and Validation","year":2025,"lang":"","type":"article","venue":"","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Code (set theory); Translation (biology); Automation; Source code; Key (lock)","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":[0.003706867,0.001292244,0.001305049,0.001277977,0.001128271,0.003390726,0.002684601,0.002461851,0.01291172],"category_scores_gemma":[0.01221684,0.00123339,0.001482824,0.0005518103,0.001145788,0.003708377,0.004541052,0.002775013,0.01206852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006598196,"about_ca_system_score_gemma":0.003232185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002630768,"about_ca_topic_score_gemma":0.003344847,"domain_scores_codex":[0.9955031,0.00131313,0.0004267306,0.0008544134,0.001611617,0.0002910156],"domain_scores_gemma":[0.9909732,0.002551275,0.0004825098,0.003300125,0.002374809,0.0003180788],"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":[0.002114892,0.001468357,0.004570093,0.001070154,0.0004388191,0.001700369,0.00147761,0.04956197,0.116287,0.06225826,0.1020984,0.6569541],"study_design_scores_gemma":[0.0002387825,0.0003015542,0.00101502,0.0001316653,0.0001236802,0.0005517156,0.0001898158,0.7520487,0.1099733,0.03657015,0.09870537,0.0001501426],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007020175,0.00008940409,0.8993738,0.0002191247,0.0001820757,0.0003700897,0.0006345079,0.08838722,0.003723625],"genre_scores_gemma":[0.1116657,0.0001132959,0.8649408,0.0003580074,0.00007118364,0.0004754493,0.003058288,0.008932022,0.01038516],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01291172,"threshold_uncertainty_score":0.04319394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02799734170332789,"score_gpt":0.3247050212473266,"score_spread":0.2967076795439987,"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."}}