{"id":"W2983694502","doi":"","title":"A novel Gappy reduced order method to capture non-parameterized geometrical variation in fluid dynamics problems","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Parameterized complexity; Variation (astronomy); Dynamics (music); Order (exchange); Mathematics; Computer science; Statistical physics; Applied mathematics; Algorithm; Physics; Economics; Astrophysics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000430558,0.000458145,0.0007258086,0.0005170556,0.00004280766,0.000158895,0.0003612009,0.0003989144,0.0006048369],"category_scores_gemma":[0.00002026304,0.0004131969,0.0002174383,0.001041278,0.00001258013,0.000086562,0.0004778973,0.00102713,0.00006816191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001845014,"about_ca_system_score_gemma":0.0002022584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002634314,"about_ca_topic_score_gemma":0.00002256048,"domain_scores_codex":[0.997531,0.0001126838,0.00063607,0.0009620237,0.0003073888,0.0004508632],"domain_scores_gemma":[0.9986489,0.0001160476,0.0002349487,0.0006258958,0.0001915803,0.0001825876],"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":[0.0001248302,0.0005038106,0.000248516,0.00008862172,0.0001693046,6.886451e-7,0.0005141571,0.9509843,0.02641402,0.005124032,0.001261435,0.0145663],"study_design_scores_gemma":[0.001022013,0.00004506881,0.0009155367,0.00009898169,0.00004507688,0.000001980648,0.00006725284,0.9943615,0.0003573502,0.001893135,0.000605038,0.0005870498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04738446,0.000008534917,0.9427748,0.0008727228,0.00109104,0.001687303,0.0000787784,0.00005334409,0.006049076],"genre_scores_gemma":[0.7591301,0.00000391396,0.2335599,0.0002151562,0.0003983168,0.0003729293,0.0004575327,0.00006636581,0.005795784],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7117457,"threshold_uncertainty_score":0.999832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02357487194158666,"score_gpt":0.2922363875669189,"score_spread":0.2686615156253323,"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."}}