{"id":"W2621399339","doi":"10.1016/b978-0-08-100894-2.00006-6","title":"Thermalhydraulics, circulation, and steam-water separation in nuclear steam generators","year":2017,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Nuclear Engineering Thermal-Hydraulics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Nuclear Laboratories","funders":"Atomic Energy of Canada Limited","keywords":"Circulation (fluid dynamics); Environmental science; Separation (statistics); Nuclear engineering; Steam drum; Steam-electric power station; Petroleum engineering; Boiler (water heating); Waste management; Superheated steam; Engineering; Mechanics; Computer science; Thermodynamics; Physics; Power (physics); Combined cycle","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002245786,0.0005658004,0.0005410492,0.000248804,0.0001163278,0.0001398631,0.0003082474,0.0005475042,0.0001337059],"category_scores_gemma":[0.000006627441,0.0005600791,0.0001130848,0.000006931474,0.00009144581,0.0001627225,0.0001183433,0.0006275185,0.0003585022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001951178,"about_ca_system_score_gemma":0.00001818478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.562476e-7,"about_ca_topic_score_gemma":0.00004220681,"domain_scores_codex":[0.9984334,0.00001966225,0.0004844385,0.0004144862,0.0002499175,0.0003980735],"domain_scores_gemma":[0.998904,0.00001572604,0.00009250601,0.0008048381,0.00004540283,0.0001375169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001485314,0.000009454542,0.00002036338,0.000389035,0.000256842,0.00008273822,0.001899647,0.02315677,0.00578826,0.002299298,0.0002835796,0.9657992],"study_design_scores_gemma":[0.0004067248,0.000023531,0.0003138406,0.0002749166,0.00006456834,0.0000257988,0.000005566474,0.01055705,0.0003526095,0.001438548,0.9856728,0.0008640653],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02243407,0.0009792345,0.00001115104,0.00002400976,0.0006267872,0.000519367,0.00001558528,0.0004307947,0.974959],"genre_scores_gemma":[0.6299273,0.0004948348,0.0002759941,0.0001497524,0.0008003016,0.00002972455,0.00006340478,0.0008238244,0.3674349],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9853892,"threshold_uncertainty_score":0.999685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009042205440681754,"score_gpt":0.2064875703198958,"score_spread":0.1974453648792141,"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."}}