{"id":"W2044473971","doi":"10.1115/icone14-89145","title":"Qualifying Elbow Meters for High Pressure Flow Measurements in an Operating Nuclear Power Plant","year":2006,"lang":"en","type":"article","venue":"Volume 1: Plant Operations, Maintenance and Life Cycle; Component Reliability and Materials Issues; Codes, Standards, Licensing and Regulatory Issues; Fuel Cycle and High Level Waste Management","topic":"Flow Measurement and Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Power Generation; Kinectrics (Canada)","funders":"","keywords":"Flow measurement; Elbow; Flow (mathematics); Nuclear engineering; Metre; Engineering; Environmental 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00208491,0.0006020896,0.0009949836,0.0002688912,0.0007389452,0.0009111756,0.0001605956,0.0002060912,0.00003303182],"category_scores_gemma":[0.00004201205,0.0005526294,0.00006031379,0.0001361652,0.0002185277,0.0006257604,0.0001528658,0.0001769233,0.000001325011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001114908,"about_ca_system_score_gemma":0.00002532788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001823542,"about_ca_topic_score_gemma":0.000735815,"domain_scores_codex":[0.9964914,0.0002614812,0.001042244,0.0009337933,0.0006158027,0.0006552324],"domain_scores_gemma":[0.9989563,0.00004310384,0.0001227183,0.0004437172,0.0002032972,0.0002308385],"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":[0.005009088,0.002376694,0.01373429,0.02482314,0.004481598,0.0002125528,0.02120334,0.62748,0.1943829,0.05097005,0.03549832,0.01982796],"study_design_scores_gemma":[0.01493176,0.0009991383,0.08108111,0.005301627,0.001848963,0.00007093212,0.01121246,0.7362877,0.006325518,0.00181246,0.1348453,0.005283059],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894323,0.005075125,0.001232748,0.0008201757,0.0004973264,0.001103487,0.001593366,0.0001823105,0.00006314041],"genre_scores_gemma":[0.9874367,0.002581221,0.008754706,0.0001520124,0.0002456671,0.00005832389,0.000486479,0.00007306076,0.000211881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1880574,"threshold_uncertainty_score":0.9996925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01789545447427119,"score_gpt":0.2296736839723176,"score_spread":0.2117782294980464,"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."}}