{"id":"W3212368723","doi":"10.3390/modelling2040032","title":"Generation of Custom Textual Model Editors","year":2021,"lang":"en","type":"article","venue":"Modelling—International Open Access Journal of Modelling in Engineering Science","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Personalization; Code generation; Domain (mathematical analysis); Software engineering; Architecture; Text generation; Formalism (music); Programming language; Software; Model-driven architecture; World Wide Web; Artificial intelligence; Software development; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.002037354,0.000256556,0.0004398779,0.001068151,0.00007904892,0.001201563,0.007924886,0.0001007228,0.000006023682],"category_scores_gemma":[0.00006659369,0.0002674025,0.000130882,0.001310236,0.00008286931,0.007564787,0.001497761,0.00047813,0.000001061436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003657687,"about_ca_system_score_gemma":0.0009081315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004317323,"about_ca_topic_score_gemma":0.000001781744,"domain_scores_codex":[0.9963837,0.00002321822,0.001181727,0.0005445739,0.001478279,0.0003885515],"domain_scores_gemma":[0.9969603,0.00008261922,0.0005468726,0.0005464578,0.001691103,0.0001726209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007227192,0.00009346897,0.00007946394,0.00001569322,0.00001661295,0.00003146186,0.0002356174,0.9225374,0.004668846,0.07129794,0.0000958284,0.0009203892],"study_design_scores_gemma":[0.0003139919,0.00002683924,0.000009559465,0.000248394,0.000006666893,0.00006033599,0.000002998096,0.967809,0.02888028,0.001879599,0.0005101167,0.0002521856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02717497,0.0001401945,0.9701773,0.0002716377,0.001906144,0.0001283584,0.000005597131,0.00005544144,0.000140385],"genre_scores_gemma":[0.5100802,0.0001115507,0.4894947,0.00002236637,0.0002421376,0.000005269543,0.000001777693,0.0000149026,0.00002711085],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4829053,"threshold_uncertainty_score":0.9999778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1047785751101621,"score_gpt":0.3514389269889763,"score_spread":0.2466603518788142,"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."}}