{"id":"W3190313535","doi":"10.1061/9780784483619.047","title":"The Challenge of Air Valve Selection in Pumping Systems","year":2021,"lang":"en","type":"article","venue":"Pipelines 2021","topic":"Water Systems and Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"WSP (Canada); Thornhill Medical (Canada)","funders":"","keywords":"Water hammer; Transient (computer programming); Pipeline transport; Outflow; Inflow; Pipeline (software); Environmental science; Atmospheric pressure; Marine engineering; Engineering; Hydraulic machinery; Petroleum engineering; Mechanical engineering; Computer science; Mechanics; Meteorology; 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":[0.0001574197,0.00006620655,0.0001196823,0.00003575928,0.00002933488,0.00002138468,0.00004807724,0.00004776143,0.000008835375],"category_scores_gemma":[0.00003072226,0.000052791,0.00004127639,0.0002324611,0.000005480367,0.00005953854,0.00001385415,0.00006644429,0.0000080598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003156864,"about_ca_system_score_gemma":0.00001430322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007509685,"about_ca_topic_score_gemma":0.000864616,"domain_scores_codex":[0.9994143,0.00003778364,0.0002585681,0.0000897509,0.00008515084,0.0001145088],"domain_scores_gemma":[0.9997234,0.00003543473,0.00002878007,0.00009863764,0.00009852766,0.00001516965],"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":[0.00000210778,0.00001493762,0.00103037,0.0002479293,0.00003198732,0.000004410519,0.0004873276,0.9937994,0.001426051,0.0005659746,0.000755438,0.001634023],"study_design_scores_gemma":[0.0002702767,0.00001100415,0.001641644,0.0002695398,0.00001227061,0.00001252069,0.0006612954,0.971953,0.007332819,0.00006979484,0.01761287,0.0001529505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5150016,0.1165909,0.2707152,0.003032337,0.01919915,0.001911554,0.00004000192,0.0007837325,0.07272543],"genre_scores_gemma":[0.9981943,0.0007444599,0.00008528351,0.00000258762,0.0002744605,0.00001725711,0.000006224167,0.00001465048,0.0006607731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4831927,"threshold_uncertainty_score":0.2152755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01062716854789911,"score_gpt":0.2065440989863958,"score_spread":0.1959169304384967,"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."}}