{"id":"W4380153038","doi":"10.1007/978-981-19-8578-2_8","title":"Data-Driven Reduced Order Models","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Nonlinear system; Flow (mathematics); Fluid dynamics; Computer science; Synchronization (alternating current); Turbulence; Projection (relational algebra); Cascade; Statistical physics; Algorithm; Mechanics; Topology (electrical circuits); Mathematics; Physics; Engineering","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":[0.0003191503,0.0007282395,0.0008068541,0.0003174129,0.0002078821,0.001058131,0.001139414,0.00080088,0.008864365],"category_scores_gemma":[0.001311103,0.0005201533,0.0007196523,0.0006122401,0.0003919603,0.001328191,0.0007073393,0.001664866,0.005036666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005935879,"about_ca_system_score_gemma":0.0005327503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002484237,"about_ca_topic_score_gemma":0.003633039,"domain_scores_codex":[0.9998209,0.00003987433,0.000007885295,0.00003626561,0.00008495813,0.00001014436],"domain_scores_gemma":[0.9996209,0.0001996864,0.00001580362,0.00007716312,0.0000786791,0.000007691108],"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":[0.00004440593,0.00004447451,0.0001378549,0.0002814271,0.00006079305,0.00006557929,0.00005181662,0.6051748,0.002825642,0.1857237,0.0291157,0.1764737],"study_design_scores_gemma":[0.000004383881,0.000008999534,0.00007368537,0.00001849379,0.00001002824,0.00003025005,0.000006665205,0.8568066,0.001280598,0.1223237,0.01942637,0.00001030616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002235715,0.001866348,0.9701529,0.0005262885,0.0002496356,0.0000232679,0.0007181509,0.001215742,0.02301193],"genre_scores_gemma":[0.2712624,0.007479331,0.5533379,0.0007310397,0.0006178786,0.0003262718,0.006286023,0.002130571,0.1578287],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008864365,"threshold_uncertainty_score":0.02965426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1170824932982547,"score_gpt":0.2918061094855526,"score_spread":0.1747236161872979,"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."}}