{"id":"W1548895590","doi":"10.1007/11568421_13","title":"Semantic Integration in Distributed Multidisciplinary Design Optimization Environments","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Reusability; Multidisciplinary approach; Multidisciplinary design optimization; Ontology; Software engineering; Systems engineering; Software; Service (business); Distributed computing; Engineering; 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":[0.0007816379,0.000471823,0.0004612621,0.0007683948,0.0001672414,0.0003167107,0.002123341,0.0003427073,0.00001347358],"category_scores_gemma":[0.0001114328,0.0004227651,0.00007925471,0.0005318308,0.0004158755,0.0008400555,0.0009430188,0.0005670944,0.00003331451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000507044,"about_ca_system_score_gemma":0.0002148008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001849216,"about_ca_topic_score_gemma":0.00008740601,"domain_scores_codex":[0.996787,0.0000711039,0.000583684,0.001303463,0.0006972699,0.0005574389],"domain_scores_gemma":[0.9982018,0.0004180064,0.0002622405,0.0009719275,0.00005226598,0.00009372905],"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":[0.000005723849,0.00003880082,0.0001009414,0.000007089713,0.000002982522,0.00005700222,0.0004198086,0.7585964,0.00006624909,0.00120564,0.000004355901,0.239495],"study_design_scores_gemma":[0.0002968033,0.0001073536,0.00104794,0.0003200644,0.000005478865,0.00002962099,5.073956e-7,0.9758228,0.001109318,0.02076659,0.00004167759,0.0004518523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00006257206,0.0003083085,0.997223,0.0007363759,0.0007326424,0.0005204428,0.000003410741,0.000110021,0.0003032956],"genre_scores_gemma":[0.1930751,0.000127678,0.8062198,0.0002265791,0.0001590505,0.00001493623,0.00002569902,0.00002269078,0.0001285167],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2390431,"threshold_uncertainty_score":0.9998224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02295540652687737,"score_gpt":0.2471890027655129,"score_spread":0.2242335962386355,"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."}}