{"id":"W4410855803","doi":"10.1016/j.compstruc.2025.107826","title":"Proper generalized decomposition surrogate modeling with application to the identification of Rayleigh damping parameters","year":2025,"lang":"en","type":"article","venue":"Computers & Structures","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de l'Enseignement supérieur, de la Recherche et de l'Innovation","keywords":"Identification (biology); Surrogate model; Decomposition; Mathematics; Applied mathematics; Structural engineering; Control theory (sociology); Computer science; Engineering; Mathematical optimization; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007507163,0.0007905045,0.0006918916,0.0005192002,0.0002769861,0.0008024023,0.0007650666,0.0008882335,0.001501412],"category_scores_gemma":[0.001795846,0.0004453562,0.0008963511,0.0005269284,0.0006199347,0.001102868,0.00093454,0.001118685,0.0004662875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003103447,"about_ca_system_score_gemma":0.0008051213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001475113,"about_ca_topic_score_gemma":0.001463817,"domain_scores_codex":[0.9996262,0.0001586198,0.00001803151,0.00004386393,0.0001288351,0.00002449084],"domain_scores_gemma":[0.9994599,0.0002127805,0.00007551458,0.0001052822,0.0001170833,0.00002936958],"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":[0.00003034196,0.00001920767,0.0004178436,0.0000547543,0.00002260002,0.00008178418,0.00006358446,0.9403811,0.006639294,0.03190402,0.0005418051,0.01984372],"study_design_scores_gemma":[9.400403e-7,0.000005673003,0.0000243022,0.000002222966,8.771788e-7,0.000008361693,0.000002087875,0.9971195,0.0003264699,0.002090762,0.000416561,0.000002333342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004823043,0.00008190637,0.9939097,0.00005867081,0.00001786618,0.00001066952,0.00002494739,0.0001096185,0.0009634868],"genre_scores_gemma":[0.4683738,0.0007342303,0.5240709,0.0001150145,0.00006518951,0.0001989338,0.0003593506,0.0003244506,0.005758055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001501412,"threshold_uncertainty_score":0.005022705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01015012341876309,"score_gpt":0.2672375853454246,"score_spread":0.2570874619266615,"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."}}