{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002419588,0.000162189,0.0002401083,0.00007044373,0.00007761333,0.00008862314,0.0001057058,0.0000698181,0.00005761457],"category_scores_gemma":[0.001111146,0.0001784763,0.00007498112,0.0004910709,0.00003758784,0.0002184764,0.00002903511,0.000122442,0.00001131337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000919862,"about_ca_system_score_gemma":0.0002015483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003834471,"about_ca_topic_score_gemma":0.0002365913,"domain_scores_codex":[0.9987992,0.00003891172,0.0003385947,0.0002945186,0.0001506984,0.0003780674],"domain_scores_gemma":[0.9977708,0.0001944687,0.00002991153,0.0003678439,0.001534693,0.0001022438],"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":[0.0003576574,0.0005102165,0.01697077,0.004703914,0.000195929,0.00003904383,0.02557301,0.7305512,0.04245436,0.1102869,0.03253415,0.03582291],"study_design_scores_gemma":[0.003591409,0.0004274376,0.4306782,0.00006683993,0.0001027475,0.00001067028,0.07230966,0.0577911,0.04299462,0.2948322,0.09532102,0.001874058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8862168,0.0001639491,0.1099137,0.001203403,0.0004650802,0.0008498025,0.00005757222,0.0003728784,0.0007568669],"genre_scores_gemma":[0.9937946,0.000001035168,0.005262394,0.00008663288,0.00007294595,0.0003033487,0.00009312415,0.00003309179,0.000352821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6727601,"threshold_uncertainty_score":0.7278053,"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."}}