{"id":"W2295801628","doi":"10.1109/scam.2006.14","title":"Evolving TXL","year":2006,"lang":"en","type":"article","venue":"","topic":"Logic, programming, and type systems","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Programming language; Functional programming; Syntax; Semantics (computer science); Business process reengineering; Transformation (genetics); Source code; Software engineering; Artificial intelligence; Engineering","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":[0.002008227,0.0005104474,0.0002562976,0.0008661179,0.000519547,0.00244145,0.002172691,0.0007497782,0.02001237],"category_scores_gemma":[0.006732504,0.0004128688,0.0005581203,0.0007216776,0.0009855143,0.004040314,0.003076152,0.001885758,0.0068162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001026037,"about_ca_system_score_gemma":0.001238042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001174499,"about_ca_topic_score_gemma":0.0009886167,"domain_scores_codex":[0.9981369,0.0002687009,0.0001400787,0.0003282166,0.0009835401,0.0001425416],"domain_scores_gemma":[0.9961398,0.000839741,0.0001906126,0.001687426,0.0009620207,0.0001804863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008724688,0.0005355402,0.005777395,0.0008262125,0.00006203706,0.0009495855,0.002484969,0.01400234,0.08775156,0.2404073,0.08074072,0.5655898],"study_design_scores_gemma":[0.0001673581,0.0004640107,0.002051097,0.0001613645,0.0000518476,0.001292705,0.0006059948,0.09862717,0.1199886,0.05348197,0.7229845,0.0001234869],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07885448,0.0002273108,0.7526476,0.0008138427,0.0005155188,0.0007944683,0.007594373,0.06331494,0.09523754],"genre_scores_gemma":[0.3464747,0.0004519587,0.5323206,0.001150057,0.0001162181,0.00132278,0.02128506,0.01897935,0.07789926],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02001237,"threshold_uncertainty_score":0.06694806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0155758232849095,"score_gpt":0.2260819542270172,"score_spread":0.2105061309421077,"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."}}