{"id":"W4391302373","doi":"10.2514/6.2024-1089","title":"Incorporation of Producibility Considerations into an Aircraft Multidisciplinary Design Optimization Framework","year":2024,"lang":"en","type":"article","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Multidisciplinary design optimization; Multidisciplinary approach; Computer science; Systems engineering; Reliability 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":[0.000265888,0.0001125452,0.0001091207,0.0001130676,0.00007411537,0.00008175232,0.00004822087,0.000100281,0.0002492749],"category_scores_gemma":[0.00009046496,0.0001046368,0.00002387813,0.0001982327,0.00002978488,0.000567187,0.00001659173,0.0001077745,0.000006149196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004215241,"about_ca_system_score_gemma":0.00005053956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001345911,"about_ca_topic_score_gemma":0.00001162953,"domain_scores_codex":[0.9992421,0.00003584316,0.0002755822,0.0002483265,0.0001098884,0.00008820336],"domain_scores_gemma":[0.9994919,0.00009788517,0.0000228854,0.0002583725,0.00008609792,0.00004282296],"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":[0.000003997684,0.00002801368,0.00006904513,0.000260309,0.00001223165,9.962625e-7,0.001109108,0.9939135,0.0003441152,0.002899109,0.0001054503,0.001254151],"study_design_scores_gemma":[0.00003962857,0.00004198812,0.0001830566,0.00005489711,0.00001360578,0.000001603617,0.00004674355,0.9515535,0.02544335,0.02249592,0.000009707838,0.0001159999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009091563,0.0001815271,0.989023,0.0001335291,0.0002690601,0.0003009646,0.000002956171,0.0006681447,0.0003291985],"genre_scores_gemma":[0.5824589,0.00002120147,0.4173873,0.000005042475,0.00003992527,0.00002127799,0.00003024814,0.00001623202,0.00001989874],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5733673,"threshold_uncertainty_score":0.4266966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02475974510047069,"score_gpt":0.266689367079436,"score_spread":0.2419296219789653,"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."}}