{"id":"W7134020889","doi":"","title":"Réduction de modèle pour la variabilité géométrique non paramétrique avec application aux simulations aéronautiques","year":2025,"lang":"en","type":"article","venue":"theses.fr (ABES)","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Morphing; Gaussian process; Gaussian; Boundary (topology); Reduction (mathematics); Process (computing); Matching (statistics); Acceleration","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":[0.0005348904,0.0008454336,0.0006952149,0.0005570666,0.0003902198,0.00114788,0.0008668313,0.0007747384,0.00380216],"category_scores_gemma":[0.001929934,0.0005189815,0.001150639,0.0005002703,0.0006420522,0.001190392,0.001078846,0.001512615,0.0008969337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007739551,"about_ca_system_score_gemma":0.000929613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004163268,"about_ca_topic_score_gemma":0.00440919,"domain_scores_codex":[0.9994389,0.00009261033,0.00002429855,0.0001062554,0.000305509,0.00003244139],"domain_scores_gemma":[0.9993203,0.0003588347,0.00006304665,0.0001178421,0.0001216077,0.00001839854],"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":[0.00005983398,0.00004210536,0.001052048,0.0002562931,0.00006236351,0.00008612133,0.0001431878,0.8211379,0.03161344,0.04584562,0.001128186,0.09857279],"study_design_scores_gemma":[0.000005204676,0.0000383341,0.0003532939,0.00001793439,0.000014712,0.00004608593,0.00002398333,0.9739175,0.008576737,0.008945925,0.008043547,0.00001668739],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01678084,0.0004079017,0.976809,0.0002381687,0.00006317598,0.00002870115,0.00007453833,0.0005485186,0.005049221],"genre_scores_gemma":[0.5071433,0.00161637,0.4694344,0.0001690294,0.00008749739,0.0002720081,0.0004642281,0.0009104161,0.0199028],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004163268,"threshold_uncertainty_score":0.01271945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01274490400433884,"score_gpt":0.2893849123912961,"score_spread":0.2766400083869572,"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."}}