{"id":"W3204482230","doi":"10.3390/su131910838","title":"Maintenance Strategies Comparison for Francis Turbine Runner Subjected to Cavitation","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Cavitation Phenomena in Pumps","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; École de Technologie Supérieure","funders":"","keywords":"Cavitation; Turbine; Degradation (telecommunications); Francis turbine; Process (computing); Set (abstract data type); Engineering; Reliability engineering; Hydraulic turbines; Computer science; Marine engineering; Mechanical engineering; Mechanics; Physics","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":[0.0005220544,0.000532833,0.0005325266,0.001013141,0.0002944848,0.000508119,0.0005243364,0.0006715495,0.001223713],"category_scores_gemma":[0.001139623,0.0001343217,0.0002702946,0.000257913,0.0001711575,0.0003210451,0.000247846,0.0002016438,0.0001567788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004630326,"about_ca_system_score_gemma":0.0002476797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002845803,"about_ca_topic_score_gemma":0.003413262,"domain_scores_codex":[0.9998379,0.00003980441,0.00001424143,0.0000274168,0.0000426728,0.00003803732],"domain_scores_gemma":[0.9993768,0.000305396,0.00009708726,0.00003236231,0.0001442626,0.00004410064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.002377033,0.0003234625,0.01178885,0.0006667675,0.0001812983,0.0005749342,0.0003401312,0.6805993,0.1310697,0.001469509,0.0005717165,0.1700373],"study_design_scores_gemma":[0.0001036145,0.005487183,0.02880007,0.00007822323,0.0003995486,0.000561566,0.0006206196,0.8952718,0.06604884,0.0008817671,0.00167677,0.00006996982],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751033,0.001049828,0.02177786,0.00005113111,0.000012691,0.00003986715,0.00004962603,0.0001260726,0.001789666],"genre_scores_gemma":[0.9975746,0.0001110137,0.001944649,0.00000422324,0.000001300177,0.000008013973,0.00002495042,0.000008187433,0.0003230551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002845803,"threshold_uncertainty_score":0.005658507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008607785219783094,"score_gpt":0.273717869388345,"score_spread":0.2651100841685619,"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."}}