{"id":"W4220800106","doi":"10.1063/5.0082741","title":"Three-dimensional deep learning-based reduced order model for unsteady flow dynamics with variable Reynolds number","year":2022,"lang":"en","type":"article","venue":"Physics of Fluids","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Physics; Reynolds number; Variable (mathematics); Mechanics; Flow (mathematics); Statistical physics; Dynamics (music); Hele-Shaw flow; Computational fluid dynamics; Order (exchange); Classical mechanics; Turbulence; Mathematical analysis","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":[0.0002965228,0.0006505533,0.0005931641,0.0003347225,0.0002247785,0.0005776247,0.001135817,0.0008766421,0.001175905],"category_scores_gemma":[0.0008831127,0.0004243185,0.0007709684,0.0002453852,0.0005126348,0.0007291406,0.0005193692,0.001337767,0.0003305612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007763943,"about_ca_system_score_gemma":0.001059289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01337004,"about_ca_topic_score_gemma":0.0109463,"domain_scores_codex":[0.9998984,0.00001801526,0.000005464501,0.00002686666,0.00003199474,0.00001919744],"domain_scores_gemma":[0.9997854,0.00008447417,0.00003143139,0.00002475605,0.00005593779,0.00001808392],"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":[0.00001769931,0.0000163456,0.000411381,0.00001369632,0.00001135117,0.0000214583,0.00001155507,0.9912221,0.00129275,0.00160914,0.0002299086,0.005142576],"study_design_scores_gemma":[4.879373e-7,0.000001687762,0.00002055234,4.591464e-7,4.827192e-7,0.000001045346,3.908553e-7,0.999699,0.00006993307,0.0001719595,0.00003328523,7.170087e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08626177,0.0004580281,0.908299,0.0003358389,0.00006380948,0.00004504345,0.0003272041,0.001090784,0.003118488],"genre_scores_gemma":[0.8989923,0.0004392552,0.09185735,0.0001830456,0.00004160393,0.0001907509,0.0007864076,0.000175242,0.007334051],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01337004,"threshold_uncertainty_score":0.02658445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01362636868604912,"score_gpt":0.2372666310223258,"score_spread":0.2236402623362767,"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."}}