{"id":"W4412550549","doi":"10.1016/j.cma.2025.118194","title":"Consistent reduced order modeling for wind turbine wakes using variational multiscale method and actuator line model","year":2025,"lang":"en","type":"article","venue":"Computer Methods in Applied Mechanics and Engineering","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Universitat Politècnica de Catalunya; Alberta Innovates; Scuola Internazionale Superiore di Studi Avanzati","keywords":"Actuator; Turbine; Line (geometry); Control theory (sociology); Mechanics; Aerospace engineering; Physics; Computer science; Mathematics; Engineering; Geometry; Control (management)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004497688,0.0001848049,0.0002886404,0.000122211,0.00008009707,0.00004906139,0.00006092272,0.00007329589,0.000002924136],"category_scores_gemma":[0.000006426673,0.0001871064,0.00004219181,0.0001463088,0.000004470812,0.00004087904,0.00009874893,0.0001759114,3.742653e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000213446,"about_ca_system_score_gemma":0.00003046587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005152765,"about_ca_topic_score_gemma":1.137059e-7,"domain_scores_codex":[0.9991022,0.00002349638,0.0002794353,0.0003344693,0.00005363167,0.0002067997],"domain_scores_gemma":[0.9995682,0.0001673614,0.00004269416,0.0001139063,0.00004298667,0.00006483553],"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":[0.00001311223,0.00001688096,5.501952e-7,0.00003299707,0.00003620356,6.063037e-8,0.00006631875,0.7850916,0.02398257,0.1406949,0.000003060094,0.05006172],"study_design_scores_gemma":[0.0006768486,0.000007580188,9.206184e-7,0.00004589342,0.0000354458,0.000001047021,0.00001941392,0.9594799,0.001921208,0.03758519,0.0000591612,0.0001674242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00663417,0.00008508631,0.9925382,0.00005593798,0.0003060292,0.0003127541,0.000007204575,0.00002818739,0.00003250518],"genre_scores_gemma":[0.1694522,0.000008349338,0.8302728,0.0000477036,0.0001476161,0.00003071047,0.000009112067,0.00001777211,0.00001376564],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1743882,"threshold_uncertainty_score":0.7629978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03686669340493945,"score_gpt":0.332739319420177,"score_spread":0.2958726260152376,"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."}}