{"id":"W2065457963","doi":"10.1002/j.2334-5837.2010.tb01099.x","title":"5.5.1 An Overview of the SysML‐Modelica Transformation Specification","year":2010,"lang":"en","type":"article","venue":"INCOSE International Symposium","topic":"Modeling and Simulation Systems","field":"Computer Science","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"Linköpings Universitet; University of Georgia; Georgia Institute of Technology","keywords":"Modelica; Systems Modeling Language; Computer science; Modeling language; Programming language; Transformation (genetics); Unified Modeling Language; Implementation; Theoretical computer science; Systems engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004094885,0.00008664892,0.00009385432,0.00006131813,0.0000824425,0.0001114723,0.001302103,0.00006824113,0.00002568901],"category_scores_gemma":[0.00001606357,0.00006457224,0.00008223651,0.0001707044,0.00002748588,0.0007319432,0.00005245896,0.000141823,0.00002713349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003753449,"about_ca_system_score_gemma":0.00004216867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008533821,"about_ca_topic_score_gemma":0.00003540757,"domain_scores_codex":[0.9987393,0.00004846874,0.0004126168,0.0001991239,0.000509199,0.00009126563],"domain_scores_gemma":[0.9987841,0.00004023046,0.0001886688,0.0006193943,0.0003211472,0.00004648513],"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":[0.00001062841,0.0001728179,0.001072209,0.00002203438,0.00002205094,4.03605e-7,0.002545473,0.02811017,0.2159609,0.7412287,0.0001161073,0.01073855],"study_design_scores_gemma":[0.0002293064,0.00001853339,0.003233163,0.00003159505,0.000003602877,0.00001838812,0.0000157429,0.9665255,0.01441935,0.004047726,0.01135144,0.0001056437],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4242223,0.00003711504,0.5550551,0.006368007,0.00372977,0.0003150181,0.00001856394,0.0001310808,0.0101231],"genre_scores_gemma":[0.9974938,0.00001893858,0.002041433,0.0001551928,0.0001829116,0.00001455235,0.00001129567,0.000006086004,0.00007579569],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9384153,"threshold_uncertainty_score":0.2633179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04648588769395987,"score_gpt":0.3181743091965463,"score_spread":0.2716884215025864,"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."}}