{"id":"W4402787908","doi":"10.1016/j.ast.2024.109611","title":"Aerodynamic shape optimization in transonic conditions through parametric model embedding","year":2024,"lang":"en","type":"article","venue":"Aerospace Science and Technology","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Naval Research Global; Canadian Internet Registration Authority; North Atlantic Treaty Organization","keywords":"Transonic; Aerodynamics; Embedding; Parametric statistics; Aerospace engineering; Computer science; Engineering; Mathematics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001524256,0.0001294152,0.00013303,0.001092482,0.0001041804,0.00006922414,0.0002024395,0.0001692868,0.00002161162],"category_scores_gemma":[0.00007963841,0.0001410909,0.00001354047,0.00476589,0.0005236351,0.0006136824,0.00003607342,0.0002742579,0.000008465203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001492012,"about_ca_system_score_gemma":0.00006441453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002727956,"about_ca_topic_score_gemma":0.00001379364,"domain_scores_codex":[0.9990467,0.00000363239,0.0001580568,0.0003115782,0.0001280346,0.0003520309],"domain_scores_gemma":[0.9997067,0.00003657322,0.00001006936,0.0001687618,0.00004461692,0.00003326666],"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":[2.127426e-7,0.000003910601,0.00006146481,0.00002016786,0.000003925603,0.000004149157,0.0001413271,0.9682632,0.003344353,0.02723987,0.00002925195,0.0008881495],"study_design_scores_gemma":[0.00009347962,0.00001352103,0.00003916918,0.00004226092,0.000006502733,0.00002786194,0.0001270361,0.9963599,0.0007494143,0.002359545,0.00003896615,0.000142286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3219861,0.002234701,0.6714341,0.001072019,0.0003814024,0.0001924571,0.000006931878,0.001712713,0.0009795462],"genre_scores_gemma":[0.9538534,0.0007225346,0.04530603,0.00001736549,0.000006273351,0.00004450952,0.000002921798,0.00002231233,0.00002459487],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6318673,"threshold_uncertainty_score":0.5753519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007005196222710297,"score_gpt":0.2519345363935135,"score_spread":0.2449293401708032,"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."}}