{"id":"W3148248474","doi":"10.18409/ispiv.v1i1.189","title":"Error propagation dynamics of velocimetry-based pressure field calculations (2): on the error profile","year":2021,"lang":"en","type":"article","venue":"14th International Symposium on Particle Image Velocimetry","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Propagation of uncertainty; Bernoulli's principle; Field (mathematics); Computer science; Round-off error; Error function; Approximation error; Applied mathematics; Algorithm; Mathematics; Physics","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":[0.004723341,0.001137711,0.0008117047,0.0008812908,0.0007554683,0.002009577,0.00130435,0.00207392,0.002117808],"category_scores_gemma":[0.02861548,0.0006497647,0.0005823988,0.0005760408,0.002018396,0.003022051,0.002130052,0.002481986,0.0004542339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001106704,"about_ca_system_score_gemma":0.001535183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007396706,"about_ca_topic_score_gemma":0.003153438,"domain_scores_codex":[0.9985429,0.0004001182,0.00008971072,0.0002818251,0.0005441991,0.0001412472],"domain_scores_gemma":[0.982186,0.0125431,0.001393296,0.001221242,0.002348784,0.0003076131],"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":[0.0003535564,0.000135091,0.00702296,0.0001645349,0.00005075963,0.0002024727,0.0004292951,0.9047763,0.01433886,0.02366777,0.001376608,0.04748181],"study_design_scores_gemma":[0.000007784934,0.00003752925,0.0004529452,0.00001630312,0.000003151742,0.00003045405,0.0000266831,0.9921618,0.003957731,0.002988928,0.0003036217,0.0000130076],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2451838,0.0005347925,0.7457408,0.001614258,0.0001460254,0.0001044875,0.0002280572,0.001204236,0.00524363],"genre_scores_gemma":[0.7895021,0.0002625128,0.2053173,0.0003002261,0.00003780796,0.0001115944,0.000401001,0.0006749913,0.003392383],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007396706,"threshold_uncertainty_score":0.02497971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01663265045760041,"score_gpt":0.2838480619426188,"score_spread":0.2672154114850184,"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."}}