{"id":"W2991210140","doi":"10.1109/models-c.2019.00046","title":"Inferring Metamodel Relaxations Based on Structural Patterns to Support Model Families","year":2019,"lang":"en","type":"article","venue":"","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Metamodeling; Computer science; Software 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":[0.007562969,0.001557129,0.001215544,0.004535244,0.001352951,0.00271369,0.002947629,0.00228257,0.002699169],"category_scores_gemma":[0.05343498,0.002151682,0.003826019,0.002636687,0.001725473,0.008798824,0.005162999,0.004183312,0.0006584319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001670753,"about_ca_system_score_gemma":0.002926246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005336084,"about_ca_topic_score_gemma":0.008398968,"domain_scores_codex":[0.9907651,0.002773061,0.0008515414,0.002154098,0.002857477,0.0005986858],"domain_scores_gemma":[0.9653809,0.0185874,0.003531273,0.009177163,0.002732014,0.000591132],"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":[0.0007667717,0.0007007537,0.0522791,0.001254068,0.0006490481,0.002712718,0.0069112,0.386258,0.03553559,0.1806427,0.004608135,0.327682],"study_design_scores_gemma":[0.00003647279,0.0001436284,0.002183609,0.0002627694,0.0002012114,0.0005999156,0.0009544222,0.8566977,0.01737294,0.1117601,0.00970214,0.00008517152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03335222,0.00009912994,0.9635983,0.0002289974,0.00001516198,0.0001500964,0.0004715583,0.001270917,0.0008136142],"genre_scores_gemma":[0.1731261,0.0001611634,0.8231684,0.0001073634,0.00002078106,0.000238906,0.002071919,0.000423011,0.0006823722],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007562969,"threshold_uncertainty_score":0.03999728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01597665717271322,"score_gpt":0.2514935607890003,"score_spread":0.2355169036162871,"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."}}