{"id":"W2317840886","doi":"10.2514/6.2006-7080","title":"On the Common Structure of MDO Problems: A Comparison of Architectures","year":2006,"lang":"en","type":"article","venue":"11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","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":[0.00660788,0.0008777615,0.001579442,0.001397213,0.001388529,0.00193072,0.001693278,0.001573829,0.004863958],"category_scores_gemma":[0.02559043,0.0005488989,0.001329636,0.001219669,0.00222946,0.003607896,0.004240991,0.002731445,0.0004421963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001515961,"about_ca_system_score_gemma":0.00319503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005013932,"about_ca_topic_score_gemma":0.004907028,"domain_scores_codex":[0.997818,0.0007687194,0.0001658252,0.0002964486,0.0007002935,0.0002507911],"domain_scores_gemma":[0.9853895,0.009909896,0.0008219233,0.001878435,0.001453537,0.0005467291],"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":[0.000136459,0.0001132592,0.001508059,0.0001669477,0.0000544764,0.00004949864,0.0001267053,0.8676015,0.0007541558,0.08075406,0.0006383454,0.04809657],"study_design_scores_gemma":[0.00003430008,0.00008963148,0.000462021,0.00003509976,0.00001661623,0.00002183211,0.00006068258,0.9681213,0.0007619999,0.02921435,0.00116904,0.00001308534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09877019,0.0008260672,0.8830169,0.001008532,0.0001134978,0.0002788842,0.0001461363,0.0004637496,0.01537603],"genre_scores_gemma":[0.5704796,0.0007411599,0.4248347,0.0001887349,0.00008076791,0.000517379,0.0003580713,0.0003086578,0.002491005],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00660788,"threshold_uncertainty_score":0.0349462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03915755282704465,"score_gpt":0.3494007438331153,"score_spread":0.3102431910060706,"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."}}