{"id":"W2271407426","doi":"","title":"16. Efficient Cavitation Detection Technology for Optimizing Hydro Turbine Operation and Maintenance","year":2004,"lang":"en","type":"article","venue":"Tunnelling and Underground Space Technology","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cavitation; Turbine; Vibration; Field (mathematics); Mechanical engineering; Hydraulic turbines; Marine engineering; Engineering; Shock (circulatory); Computer science; Acoustics; Mathematics; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005258264,0.0004196455,0.0003696207,0.000518576,0.0003426554,0.0008415919,0.000719738,0.0007013565,0.004827027],"category_scores_gemma":[0.0005046687,0.0004030089,0.0001997583,0.0005084979,0.0004492535,0.0005913741,0.000239285,0.0003335833,0.002569231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002107946,"about_ca_system_score_gemma":0.001110705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009029884,"about_ca_topic_score_gemma":0.02360391,"domain_scores_codex":[0.9995164,0.00002644295,0.00002053084,0.00009638138,0.0002916974,0.00004864034],"domain_scores_gemma":[0.9995311,0.00004028208,0.00009132916,0.00003846214,0.0002715106,0.00002735227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009639383,0.00002853794,0.0009216293,0.0002048033,0.000006321291,0.00009180865,0.000080357,0.002439691,0.9260978,0.001408083,0.003013503,0.06561115],"study_design_scores_gemma":[0.00005107273,0.0002328592,0.00933491,0.00004518505,0.00003195504,0.0002261128,0.00004961822,0.0199885,0.9238645,0.0004004146,0.04572683,0.00004795323],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3054291,0.004094592,0.6207183,0.001723309,0.0004280305,0.0007546874,0.001729738,0.008703726,0.05641852],"genre_scores_gemma":[0.7155488,0.001099804,0.2281366,0.0003398554,0.00006017806,0.0003034695,0.0007479441,0.0002963777,0.05346695],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009029884,"threshold_uncertainty_score":0.01795465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007240126682155407,"score_gpt":0.2068681449007241,"score_spread":0.1996280182185687,"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."}}