{"id":"W4200390715","doi":"10.5267/j.esm.2021.12.003","title":"Prediction and investigation between impeller blade shape parameters and performance parameters in CFD and ANN","year":2021,"lang":"en","type":"article","venue":"Engineering Solid Mechanics","topic":"Cavitation Phenomena in Pumps","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Impeller; Centrifugal pump; Blade (archaeology); Computational fluid dynamics; Specific speed; Performance prediction; Head (geology); Structural engineering; Mechanics; Computer science; Mechanical engineering; Engineering; Simulation; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001714007,0.0001734378,0.000195129,0.0001562134,0.00003097555,0.00005890198,0.00003759725,0.00010578,0.000002241732],"category_scores_gemma":[0.00007235361,0.0002161279,0.00001472439,0.0002192378,0.00001504849,0.0002580255,0.00004220492,0.0002200818,0.000001454273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006299759,"about_ca_system_score_gemma":0.0000108037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002339904,"about_ca_topic_score_gemma":0.000001917427,"domain_scores_codex":[0.9991771,0.00001357328,0.0002484297,0.0002270321,0.0001090331,0.0002248381],"domain_scores_gemma":[0.9996237,0.00008662209,0.00002429812,0.0001243899,0.00002072182,0.0001203318],"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":[0.00001390231,0.00001869728,0.01957706,0.001372987,0.0002289471,0.0000226996,0.006471644,0.9001374,0.04297995,0.001490116,0.00009724547,0.02758938],"study_design_scores_gemma":[0.0003572977,0.0000466516,0.01984516,0.0001001396,0.00002516762,0.00001857141,0.0001063955,0.9676225,0.01115211,0.0003878693,0.0001168644,0.0002212523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915087,0.0006105788,0.007232517,0.00005366596,0.0002549108,0.0001448268,0.00001566775,0.0001681655,0.00001097798],"genre_scores_gemma":[0.9898634,0.0006569717,0.009319114,0.00002706944,0.00003215027,0.00002607997,0.00002684975,0.00004118181,0.000007209821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06748515,"threshold_uncertainty_score":0.8813439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01540010983606582,"score_gpt":0.1918397757728478,"score_spread":0.176439665936782,"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."}}