{"id":"W4406200248","doi":"10.1016/j.apm.2025.115929","title":"Elasticity-based morphing technique and application to reduced-order modeling","year":2025,"lang":"en","type":"article","venue":"Applied Mathematical Modelling","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Safran Electronics (Canada)","funders":"HORIZON EUROPE European Research Council; European Research Council; Safran; Association Nationale de la Recherche et de la Technologie; European Commission","keywords":"Morphing; Elasticity (physics); Computer science; Mathematics; Computer graphics (images); Materials science; Composite material","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":[0.0002259106,0.0003257733,0.0005064529,0.0005028201,0.000304842,0.0005647379,0.0006740481,0.0007408822,0.002718061],"category_scores_gemma":[0.0006691457,0.000321265,0.000687588,0.0003714047,0.0005879752,0.0007004451,0.0007317014,0.0009490742,0.0004967627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003265603,"about_ca_system_score_gemma":0.0003995655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001639131,"about_ca_topic_score_gemma":0.001864227,"domain_scores_codex":[0.9999343,0.00001310764,0.00000428974,0.0000133569,0.00002921469,0.000005684755],"domain_scores_gemma":[0.9998528,0.00005796142,0.00001838878,0.00003721032,0.0000264811,0.000007159031],"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":[0.00004465341,0.00006016767,0.0003633023,0.0001216821,0.00003743878,0.0001758215,0.0001033053,0.7856796,0.02737379,0.1087142,0.0008501108,0.07647591],"study_design_scores_gemma":[0.000001171951,0.000003796152,0.00004972493,0.000002140351,0.000002169283,0.00003134808,0.000002941429,0.9918349,0.001215423,0.005934462,0.0009180218,0.000003903641],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01482038,0.0001600633,0.9807717,0.0001480768,0.00006121751,0.00002423495,0.0000358561,0.0003747886,0.003603657],"genre_scores_gemma":[0.5453075,0.00071568,0.4366822,0.0001013883,0.00005995098,0.0001156737,0.0001431109,0.0004601222,0.01641447],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002718061,"threshold_uncertainty_score":0.009092808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01377226920670176,"score_gpt":0.2584880566544474,"score_spread":0.2447157874477456,"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."}}