{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007492546,0.00011975,0.00008501141,0.00008932698,0.00005985822,0.0001420459,0.0005657034,0.00003798506,0.0001023637],"category_scores_gemma":[0.0001196336,0.0001001602,0.00002172943,0.0004486348,0.00001784668,0.0008097586,0.00004549437,0.0001294526,0.00009187934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004163789,"about_ca_system_score_gemma":0.000006377271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001389244,"about_ca_topic_score_gemma":5.765617e-7,"domain_scores_codex":[0.998937,0.000007427838,0.0001173962,0.0002322066,0.0003839295,0.0003221163],"domain_scores_gemma":[0.9992881,0.0001877995,0.00001310649,0.0003569181,0.00003901301,0.0001150608],"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":[0.00002875396,0.000687831,0.05835865,0.000582011,0.0001854485,0.0001390196,0.1127875,0.1706607,0.0158967,0.01533986,0.05187402,0.5734594],"study_design_scores_gemma":[0.0006318584,0.0001965327,0.003082186,0.00005214168,0.000002513091,0.00009822126,0.00009625735,0.9258311,0.0248317,0.00000809406,0.04454213,0.0006272271],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07141769,0.0001014689,0.9269547,0.0001579674,0.00005144562,0.00009753545,5.606491e-7,0.001055981,0.0001626262],"genre_scores_gemma":[0.92299,0.000008698899,0.07598058,0.00006447078,0.00001671975,0.00004226866,0.000001189574,0.000015691,0.0008804201],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8515723,"threshold_uncertainty_score":0.4084416,"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."}}