{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001164876,0.001012538,0.0005321834,0.0007427711,0.000247676,0.0005859011,0.0004540611,0.0008964485,0.0005377221],"category_scores_gemma":[0.003541504,0.000442067,0.0005520417,0.0005388303,0.0003316591,0.0008197579,0.0003268677,0.000620391,0.000144007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004792536,"about_ca_system_score_gemma":0.0005269703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00970926,"about_ca_topic_score_gemma":0.005672748,"domain_scores_codex":[0.9996341,0.00008755776,0.00003078806,0.0001002191,0.00008479416,0.0000624376],"domain_scores_gemma":[0.9985387,0.001062558,0.00008921474,0.00007105741,0.0002108249,0.00002771403],"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":[0.00008149767,0.000089482,0.007548633,0.000042727,0.00004635819,0.0000598588,0.00003728525,0.9516803,0.003032512,0.0003335516,0.0002688614,0.03677904],"study_design_scores_gemma":[0.000001116598,0.00001061588,0.0008784436,0.000001645752,0.00000346334,0.000004433411,0.000003333016,0.9985624,0.0004564641,0.00005001864,0.00002492045,0.00000313867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7004436,0.0007452865,0.2934957,0.0002238074,0.0000791011,0.00006578263,0.000167835,0.001073339,0.003705645],"genre_scores_gemma":[0.9857876,0.0001205,0.01326664,0.00002181868,0.000009427774,0.00003414942,0.00009031517,0.00001733322,0.0006521724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00970926,"threshold_uncertainty_score":0.01930553,"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."}}