{"id":"W4411552476","doi":"10.1109/saci66288.2025.11030105","title":"Generative AI for Diagrams as Code and Code as Diagrams","year":2025,"lang":"en","type":"article","venue":"","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Programming language; Code (set theory); Generative grammar; Code generation; Artificial intelligence","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":[0.002322344,0.0007741876,0.0003568277,0.002727693,0.001208542,0.004381003,0.001880444,0.001171342,0.008882623],"category_scores_gemma":[0.00862532,0.0006159123,0.001661147,0.001677622,0.003984251,0.004848013,0.004186114,0.002545795,0.001815242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001938831,"about_ca_system_score_gemma":0.002176008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005018966,"about_ca_topic_score_gemma":0.008748092,"domain_scores_codex":[0.9975941,0.001097449,0.0001203232,0.0003628198,0.0007234048,0.0001018885],"domain_scores_gemma":[0.9961103,0.002158705,0.0001858744,0.001125152,0.0002894041,0.0001306202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001625658,0.00002854431,0.0003455333,0.0002409806,0.00002014879,0.0001272527,0.001555512,0.01034379,0.002720942,0.9240583,0.003574403,0.05696848],"study_design_scores_gemma":[0.00001700552,0.00002731735,0.000251443,0.0002230574,0.00002992072,0.000483972,0.0004494936,0.1086523,0.003568821,0.7345684,0.1516901,0.00003807475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0017742,0.0003268733,0.985468,0.0006289062,0.00004211336,0.00006841242,0.0000845727,0.001082188,0.01052481],"genre_scores_gemma":[0.09500533,0.0006845717,0.893453,0.0003794259,0.00005079655,0.0003108228,0.0006682427,0.0007462985,0.00870153],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008882623,"threshold_uncertainty_score":0.0297153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01171521975726869,"score_gpt":0.2909071681749826,"score_spread":0.2791919484177139,"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."}}