{"id":"W3003349544","doi":"10.1007/s00348-020-2886-z","title":"Estimating pressure fields from planar velocity data around immersed bodies; a finite element approach","year":2020,"lang":"en","type":"article","venue":"Experiments in Fluids","topic":"Fluid Dynamics and Vibration Analysis","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Directorate for Engineering","keywords":"Finite element method; Laminar flow; Pressure-correction method; Boundary (topology); Mechanics; Boundary knot method; Mathematical analysis; Mixed finite element method; Vector field; Mathematics; Physics; Boundary element method; Computer science","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":[0.0005743705,0.0005698427,0.0007309354,0.0007464912,0.0002649182,0.000630393,0.001165311,0.001552461,0.000741158],"category_scores_gemma":[0.003240344,0.0009169207,0.0005057602,0.0005385476,0.0009069049,0.001279041,0.0009230227,0.0008162977,0.0002397746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002530562,"about_ca_system_score_gemma":0.0006211027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002927248,"about_ca_topic_score_gemma":0.00153395,"domain_scores_codex":[0.9997227,0.00005798434,0.00001731911,0.00006230993,0.0001197095,0.00002010988],"domain_scores_gemma":[0.9988309,0.000848819,0.00008259255,0.00008094171,0.0001185625,0.00003817404],"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":[0.00008719398,0.00007376468,0.0005954586,0.00006160013,0.00002393697,0.0000490238,0.00004872215,0.9372965,0.02168018,0.001452226,0.0001188739,0.03851244],"study_design_scores_gemma":[0.000002763505,0.0000127417,0.00009316442,0.000001735361,0.000001883014,0.00001005314,0.000005422866,0.9973852,0.001956171,0.0004657426,0.0000614433,0.000003612373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0323414,0.00004874929,0.9670911,0.0000379021,0.000007666536,0.0000212434,0.00003017206,0.0002031236,0.0002186295],"genre_scores_gemma":[0.6385526,0.0002135757,0.3595402,0.00003548959,0.00003104192,0.00009569494,0.0002640075,0.000089266,0.001178111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002927248,"threshold_uncertainty_score":0.005820394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04517711372953186,"score_gpt":0.2765857437144998,"score_spread":0.2314086299849679,"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."}}