{"id":"W2163165845","doi":"10.1109/tse.2009.30","title":"Engineering of Framework-Specific Modeling Languages","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Software Engineering","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Software engineering; Model-driven architecture; Domain-specific language; Reverse engineering; Domain (mathematical analysis); Modeling language; Programming language; Software development; Software","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"],"consensus_categories":[],"category_scores_codex":[0.0002481407,0.0003324214,0.0003712876,0.0004453094,0.00006459352,0.00004991614,0.0006948714,0.0001764911,0.000009735668],"category_scores_gemma":[0.0002186444,0.0003672595,0.0001748095,0.0007105164,0.00001243014,0.0004764606,0.000005083174,0.0005931176,0.00001261005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009636181,"about_ca_system_score_gemma":0.00002107395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001945739,"about_ca_topic_score_gemma":9.49361e-8,"domain_scores_codex":[0.9983691,0.00002206305,0.000389326,0.0004461203,0.000324507,0.0004488757],"domain_scores_gemma":[0.998214,0.0007440723,0.0000555714,0.0007893108,0.00007753525,0.0001195081],"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":[0.000004472126,0.00003571666,0.000001084858,0.00003043011,0.00002032419,0.00001180536,0.0002459826,0.9643418,0.00332287,0.002410496,0.000004796036,0.02957029],"study_design_scores_gemma":[0.0003030092,0.0001800012,0.0001017146,0.0004646554,0.00001597423,0.00003783167,0.00002780299,0.9179389,0.07905703,0.0009305071,0.0001829785,0.0007595817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004297242,0.0005247446,0.9917166,0.00003194188,0.0008843714,0.0001324523,0.000006452741,0.002399099,0.000007146807],"genre_scores_gemma":[0.4182955,0.00007194594,0.5815231,0.00002051889,0.00003955004,0.00001171891,4.249735e-7,0.00002583369,0.00001142885],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4139982,"threshold_uncertainty_score":0.9998779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02497381607986825,"score_gpt":0.2664724282646951,"score_spread":0.2414986121848269,"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."}}