{"id":"W3013076696","doi":"10.1115/1.0005443v","title":"Deep Convolutional Recurrent Autoencoders for Flow Field Prediction","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Convolutional neural network; Artificial intelligence; Deep learning; Field (mathematics); Recurrent neural network; Flow (mathematics); Artificial neural network; Mathematics","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":[0.0005503159,0.0008118779,0.0006804402,0.0002936294,0.0002449055,0.0005531439,0.001106488,0.0007797698,0.001270893],"category_scores_gemma":[0.001140416,0.0005314914,0.0006149556,0.0003565195,0.0004095852,0.000847259,0.0005958564,0.001681539,0.0005862366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006962284,"about_ca_system_score_gemma":0.0008364636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009590302,"about_ca_topic_score_gemma":0.01030751,"domain_scores_codex":[0.9998174,0.00003713449,0.000009666945,0.0000522793,0.00005648009,0.00002697848],"domain_scores_gemma":[0.9996966,0.0001256364,0.0000362777,0.00004677455,0.00008137114,0.0000134384],"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":[0.00004260935,0.00003687518,0.0003379046,0.00004577126,0.00004521416,0.00004963404,0.00003013702,0.918865,0.005985124,0.007238834,0.001011017,0.06631195],"study_design_scores_gemma":[5.992605e-7,0.000005019524,0.00003234526,0.000001367957,0.000001791197,0.000002793109,8.458676e-7,0.9984369,0.0005848411,0.0007771833,0.0001548806,0.000001507338],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01012965,0.0003410475,0.9874672,0.0001038057,0.0000368101,0.0000170856,0.0000823295,0.0009288921,0.0008932186],"genre_scores_gemma":[0.6367816,0.0007371549,0.3529987,0.0001688141,0.00008111259,0.0001547483,0.0008408896,0.0002138565,0.008022957],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009590302,"threshold_uncertainty_score":0.01906896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02373980412737724,"score_gpt":0.2695293920254205,"score_spread":0.2457895878980433,"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."}}