{"id":"W4312663631","doi":"10.1007/978-3-031-19762-8_14","title":"Model-Driven Engineering in Digital Thread Platforms: A Practical Use Case and Future Challenges","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"University of Galway; Science Foundation Ireland; European Commission; National University of Ireland","keywords":"Computer science; Interoperability; Software engineering; Model-driven architecture; Thread (computing); Orchestration; Context (archaeology); Software; Distributed computing; Software development; World Wide Web; Programming language","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":[0.0005078145,0.0004744804,0.0004415376,0.0008246608,0.0001685442,0.0007271978,0.001059584,0.0002707015,0.000002813683],"category_scores_gemma":[0.0003074215,0.000442515,0.00006733806,0.0003750793,0.0002229777,0.002008463,0.001900519,0.001265135,0.000001656037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002667205,"about_ca_system_score_gemma":0.0002993416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002644207,"about_ca_topic_score_gemma":0.00004412186,"domain_scores_codex":[0.9971074,0.000008539724,0.0003794657,0.001313678,0.0006359825,0.0005549446],"domain_scores_gemma":[0.9974908,0.001155518,0.0001552267,0.0009501335,0.00008875864,0.0001595363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001114988,0.00006752127,0.0003095618,0.0000941699,0.0000133995,0.007397857,0.003470827,0.08378496,0.000002525358,0.1157477,0.00003985528,0.7890605],"study_design_scores_gemma":[0.0001560393,0.0001499033,0.00003669693,0.0001771977,0.000003405404,0.004305962,2.576891e-7,0.8162206,0.000006182207,0.1779722,0.0004906703,0.0004808586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001162519,0.0006140094,0.9948923,0.0007784956,0.0003624238,0.0002822278,0.000007721985,0.00169046,0.0002098193],"genre_scores_gemma":[0.2217976,0.000319566,0.7772243,0.0003077224,0.0002574477,0.00002472511,0.000003799522,0.0000448201,0.00001995266],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7885796,"threshold_uncertainty_score":0.9998026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05086537225321081,"score_gpt":0.2692703214509965,"score_spread":0.2184049491977857,"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."}}