{"id":"W4388191879","doi":"10.1016/j.euromechsol.2023.105168","title":"Dynamic mode decomposition of deformation fields in elastic and elastic–plastic solids","year":2023,"lang":"en","type":"article","venue":"European Journal of Mechanics - A/Solids","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Deformation (meteorology); Dynamic mode decomposition; Materials science; Decomposition; Mode (computer interface); Composite material; Mechanics; Physics; Computer science; Chemistry","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":[0.0003397337,0.0004738333,0.0003620852,0.0006500482,0.0001820393,0.0006759037,0.0006368573,0.000762084,0.002837995],"category_scores_gemma":[0.0008823138,0.0003288453,0.0005460596,0.0003749444,0.0004662197,0.001064749,0.0005051796,0.0008785433,0.0004111688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003320239,"about_ca_system_score_gemma":0.0003667748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001664137,"about_ca_topic_score_gemma":0.001573508,"domain_scores_codex":[0.9999058,0.00002476517,0.000004458813,0.0000230356,0.000029305,0.00001266008],"domain_scores_gemma":[0.99978,0.0000979319,0.0000284037,0.00003277225,0.00004029353,0.0000207081],"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":[0.0001025276,0.000108871,0.0008465046,0.0001304618,0.00003721354,0.00009889947,0.0001245154,0.7327792,0.02094982,0.1578004,0.002085069,0.08493654],"study_design_scores_gemma":[0.000001458907,0.000005047598,0.000186107,0.000003282133,0.000001386623,0.00001087968,0.000008490439,0.980504,0.0003520871,0.01859545,0.0003274039,0.00000428378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06104312,0.0004377828,0.9332142,0.000255525,0.00007867711,0.00003042669,0.0001723352,0.0001990097,0.00456889],"genre_scores_gemma":[0.8532748,0.0008882773,0.1298811,0.0001122233,0.00009100862,0.00009737483,0.000411215,0.0002420999,0.01500195],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002837995,"threshold_uncertainty_score":0.009494007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01246043628997238,"score_gpt":0.2696396337071078,"score_spread":0.2571791974171354,"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."}}