{"id":"W2115571575","doi":"10.1109/scam.2001.972678","title":"Software engineering by source transformation - experience with TXL","year":2002,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of Waterloo; Queen's University","funders":"","keywords":"Computer science; Programming language; Software engineering; COBOL; Software construction; Software maintenance; Software development; Program transformation; Source code; Code refactoring; Backporting; Software; Operating system","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":[0.01062402,0.0006440654,0.0005342919,0.001358412,0.001186303,0.006074069,0.001922602,0.001779994,0.00677223],"category_scores_gemma":[0.02762802,0.0006952136,0.0007687327,0.002661308,0.004073214,0.01530372,0.005531067,0.006827996,0.005368365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001502665,"about_ca_system_score_gemma":0.002203134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008297884,"about_ca_topic_score_gemma":0.0007443208,"domain_scores_codex":[0.9923707,0.003152185,0.0004816229,0.0008590336,0.00287428,0.0002621284],"domain_scores_gemma":[0.9775651,0.01225519,0.0005719312,0.005765791,0.002941507,0.0009005638],"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":[0.000104543,0.0002710608,0.001453592,0.0004246864,0.00002462271,0.0005693997,0.01987105,0.003948064,0.007407091,0.2232363,0.04973911,0.6929505],"study_design_scores_gemma":[0.00003825914,0.0001332748,0.0004802694,0.0002964598,0.00001187781,0.001718834,0.001742733,0.009267736,0.008541601,0.1486102,0.8290885,0.00007025907],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0150946,0.006605555,0.872745,0.0141989,0.0006473141,0.0001045195,0.0001104061,0.008346503,0.08214736],"genre_scores_gemma":[0.1784816,0.01928636,0.7214476,0.006363304,0.001036719,0.0002220372,0.0007536847,0.007607995,0.06480075],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01062402,"threshold_uncertainty_score":0.05618584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01048646824423637,"score_gpt":0.2029174334201909,"score_spread":0.1924309651759546,"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."}}