{"id":"W2029199667","doi":"10.1115/gt2005-69021","title":"Preliminary Multidisciplinary Design Optimization System: A Software Solution for Early Gas Turbine Conception","year":2005,"lang":"en","type":"article","venue":"","topic":"Turbomachinery Performance and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Consortium de Recherche et d’innovation en Aérospatiale au Québec","keywords":"Multidisciplinary design optimization; Computer science; Multidisciplinary approach; Systems engineering; Software engineering; Graphical user interface; Software; Software design; Java; XML; Software development; Engineering; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001557513,0.0001920018,0.0001563406,0.0001174487,0.0001691879,0.00004300433,0.00009174473,0.000138038,0.0000489225],"category_scores_gemma":[0.00001382098,0.0001834371,0.0000620978,0.0001519128,0.00001886971,0.0007986879,0.0000199069,0.00008252723,0.00004490326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001944509,"about_ca_system_score_gemma":0.00001509266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005262075,"about_ca_topic_score_gemma":0.000003391677,"domain_scores_codex":[0.999097,0.00002273422,0.0002953338,0.00019655,0.0001235278,0.0002648704],"domain_scores_gemma":[0.9995839,0.00004737603,0.00005004902,0.0001677548,0.00008827851,0.00006264415],"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":[0.0001055594,0.00002332282,0.0001663065,0.0001285366,0.00001500526,4.307097e-7,0.0002934923,0.9835647,0.0003525842,0.0000302653,0.001542179,0.01377763],"study_design_scores_gemma":[0.0007693483,0.0002254376,0.0006991684,0.0000644688,0.0000368203,0.000009638474,0.0000365454,0.9965821,0.001241582,0.000006213524,0.00009525791,0.0002334225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01897868,0.0002086035,0.9780887,0.00006245009,0.0002732321,0.0008112112,0.00001178609,0.001257898,0.000307427],"genre_scores_gemma":[0.5470797,0.0000369917,0.4519783,0.00001199585,0.0003042426,0.0001641888,0.0001632262,0.00004142633,0.0002200018],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.528101,"threshold_uncertainty_score":0.7480347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01377774173388012,"score_gpt":0.2212749047505445,"score_spread":0.2074971630166644,"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."}}