{"id":"W2306824538","doi":"10.3390/en9040237","title":"Cavitation Inception in Crossflow Hydro Turbines","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Cavitation Phenomena in Pumps","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Universidade Federal do Pará; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Pró-Reitoria de Pesquisa e Pós-Graduação, Universidade Federal do Pará; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; University of Calgary","keywords":"Cavitation; Impeller; Reynolds-averaged Navier–Stokes equations; Turbine; Mechanics; Detached eddy simulation; Suction; Marine engineering; Specific speed; Draft tube; Turbine blade; Flow (mathematics); Materials science; Computational fluid dynamics; Mechanical engineering; Engineering; Centrifugal pump; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006426559,0.00007909415,0.00007258045,0.0001179623,0.000018123,0.00002079689,0.00005884402,0.00003777572,0.00007173775],"category_scores_gemma":[0.00003713242,0.00006298658,0.00001881696,0.0001372208,0.00002810607,0.0002895346,0.00001113253,0.00003166532,0.0001026218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001033218,"about_ca_system_score_gemma":0.000005551458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001810149,"about_ca_topic_score_gemma":0.00009081994,"domain_scores_codex":[0.999536,0.00001169186,0.0001418295,0.00009401781,0.00008765461,0.0001288038],"domain_scores_gemma":[0.9997707,0.00006666674,0.0000145435,0.0001083553,0.00001930087,0.0000204062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0000110293,0.00001833481,0.005944913,0.00003745415,0.00001280691,0.000004658212,0.002244304,0.4311941,0.5093483,0.005125987,0.002691582,0.04336653],"study_design_scores_gemma":[0.004643668,0.0001375753,0.53631,0.0004412388,0.0000237255,0.00001365195,0.001476765,0.02090856,0.3327128,0.04152359,0.05999916,0.001809244],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965057,0.0001543373,0.0004423819,0.0001356591,0.0003950787,0.00004437289,0.000005545958,0.0002328024,0.002084157],"genre_scores_gemma":[0.9985281,0.00005535989,0.0005989518,0.00001949342,0.00008892839,0.00003951241,0.000006901435,0.00001849772,0.0006443079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5303651,"threshold_uncertainty_score":0.2568518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005037274970454112,"score_gpt":0.194196580574679,"score_spread":0.1891593056042248,"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."}}