{"id":"W2889440645","doi":"10.1515/cmam-2018-0203","title":"Ensemble Algorithm for Parametrized Flow Problems with Energy Stable Open Boundary Conditions","year":2019,"lang":"en","type":"preprint","venue":"Computational Methods in Applied Mathematics","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Forcing (mathematics); Stability (learning theory); Boundary (topology); Boundary value problem; Flow (mathematics); Viscosity; Energy (signal processing); Applied mathematics; Computer science; Algorithm; Mathematics; Mathematical optimization; Mathematical analysis; Physics; Geometry; Thermodynamics","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":[0.0008341884,0.0003778608,0.001014411,0.0004965191,0.0006880836,0.0007295363,0.00136117,0.00100953,0.002802851],"category_scores_gemma":[0.002323022,0.0003052878,0.0004401854,0.0004448629,0.0005838489,0.00114736,0.001453513,0.001240535,0.000599003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004557002,"about_ca_system_score_gemma":0.0007583154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002806089,"about_ca_topic_score_gemma":0.0033602,"domain_scores_codex":[0.999783,0.00008063568,0.00001187404,0.00002658936,0.00006892829,0.00002903732],"domain_scores_gemma":[0.9990923,0.0003689328,0.00006967859,0.0001579307,0.000221682,0.00008949538],"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":[0.0001238737,0.0001226869,0.001516299,0.00006480962,0.00005719919,0.00009155482,0.0001178748,0.8612814,0.005725799,0.05789342,0.001738802,0.07126629],"study_design_scores_gemma":[0.000003810556,0.000005270003,0.00002302256,0.000001516415,8.737122e-7,0.000002619399,0.00000187024,0.9975236,0.000170716,0.002083764,0.0001814953,0.000001394522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04283416,0.000158977,0.9539964,0.0001409635,0.00006689604,0.00004638812,0.00005319733,0.000274149,0.002428789],"genre_scores_gemma":[0.5148061,0.0002313622,0.4788806,0.000117648,0.0001004307,0.0003560511,0.0003023995,0.0002733371,0.004932144],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002806089,"threshold_uncertainty_score":0.009376466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08451676296790987,"score_gpt":0.3529053228006733,"score_spread":0.2683885598327634,"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."}}