{"id":"W3012436707","doi":"10.3390/en13061310","title":"Numerical Study of the Winter–Kennedy Flow Measurement Method in Transient Flows","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Cavitation Phenomena in Pumps","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Mechanics; Transient (computer programming); Casing; Flow (mathematics); Turbine; Computational fluid dynamics; Inlet; Volumetric flow rate; Instability; Plane (geometry); Physics; Mathematics; Thermodynamics; Engineering; Geometry; Mechanical engineering; Computer science","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":[0.001309398,0.0003113042,0.0004079962,0.0005001337,0.0003108703,0.0004341781,0.0006444468,0.0005381854,0.0005070782],"category_scores_gemma":[0.003376323,0.0002229963,0.0002548117,0.0004638521,0.000829822,0.0007057408,0.0004408727,0.0004145573,0.0000921442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004268216,"about_ca_system_score_gemma":0.0004776567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003830543,"about_ca_topic_score_gemma":0.001873979,"domain_scores_codex":[0.9995683,0.0002007013,0.00002585259,0.00005624678,0.0001087062,0.00004017722],"domain_scores_gemma":[0.9984659,0.0009397863,0.0001887827,0.0001435379,0.0002187672,0.00004324529],"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":[0.0006580481,0.0001669653,0.0163576,0.0002200202,0.00006383406,0.0004033865,0.000638406,0.6962966,0.1226844,0.03195142,0.0008457974,0.1297135],"study_design_scores_gemma":[0.000004757942,0.00003599485,0.0006583565,0.000003456687,0.000002404081,0.0000273499,0.00001569667,0.9939656,0.004828576,0.0002313054,0.0002186062,0.000007921421],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3026474,0.0002878456,0.6931789,0.0001246619,0.00005317189,0.00007526085,0.0000483527,0.0003622159,0.003222209],"genre_scores_gemma":[0.9024271,0.00007606382,0.0967074,0.0000125861,0.000007977751,0.00005869376,0.00002796783,0.00002611521,0.0006561343],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003830543,"threshold_uncertainty_score":0.00761652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02939619827174208,"score_gpt":0.2377048124324646,"score_spread":0.2083086141607225,"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."}}