{"id":"W2973663004","doi":"10.3390/s19184053","title":"Detection of Hydraulic Phenomena in Francis Turbines with Different Sensors","year":2019,"lang":"en","type":"article","venue":"Sensors","topic":"Cavitation Phenomena in Pumps","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"FP7 Energy; Seventh Framework Programme; BC Hydro; Generalitat de Catalunya; European Commission","keywords":"Hydraulic machinery; SIGNAL (programming language); Hydropower; Engineering; Flexibility (engineering); Strain gauge; Turbine; Francis turbine; Automotive engineering; Accelerometer; Control engineering; Grid; Mechanical engineering; Marine engineering; Computer science; Electrical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0000526289,0.0001646489,0.0002400104,0.0002146621,0.00001112478,0.000009080463,0.00006752791,0.00005496776,0.00007524307],"category_scores_gemma":[0.0000105941,0.0001432422,0.0000382289,0.0003026859,0.0000252349,0.00006723529,0.00001074963,0.0001363751,0.00007309213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001206989,"about_ca_system_score_gemma":0.000004302228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004823879,"about_ca_topic_score_gemma":0.0000956337,"domain_scores_codex":[0.9991753,0.00002243311,0.0002433964,0.0001677643,0.0001812043,0.0002099142],"domain_scores_gemma":[0.9995759,0.00006536671,0.00004504956,0.0002360737,0.00003264266,0.00004495277],"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":[0.00006634313,0.0000380488,0.01159632,0.0002458322,0.00006061324,0.000005211622,0.002652937,0.8911784,0.08912618,0.00008117676,0.00001050343,0.004938459],"study_design_scores_gemma":[0.003804439,0.0004723388,0.3597655,0.0001926775,0.00004879045,0.00002478323,0.002394416,0.3756696,0.2536336,0.000469809,0.002392649,0.001131405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950444,0.00007086492,0.00006859747,0.00001557186,0.0002802462,0.0002532181,0.000005574114,0.0001302039,0.004131362],"genre_scores_gemma":[0.9995391,0.00001107106,0.00007513005,0.0000119782,0.00005652867,0.0000120787,0.000003920554,0.00004370501,0.000246528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5155088,"threshold_uncertainty_score":0.5841249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0047175815341964,"score_gpt":0.1804544232455637,"score_spread":0.1757368417113673,"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."}}