{"id":"W2787241160","doi":"10.1155/2018/1706590","title":"Analysis of Control Rod Drop Accidents for the Canadian SCWR Using Coupled 3-Dimensional Neutron Kinetics and Thermal Hydraulics","year":2018,"lang":"en","type":"article","venue":"Science and Technology of Nuclear Installations","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Office of Energy Research and Development; Natural Sciences and Engineering Research Council of Canada; Canadian Nuclear Laboratories; Natural Resources Canada; University of Michigan","keywords":"Control rod; Nuclear engineering; Scram; Thermal hydraulics; Neutron transport; Delayed neutron; Decay heat; Boiling water reactor; Setpoint; Supercritical fluid; Neutron; Environmental science; Engineering; Mechanics; Fission; Mechanical engineering; Nuclear physics; Thermodynamics; Heat transfer; Computer science; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009836478,0.00005653478,0.0001129084,0.0004050099,0.0002199414,0.00001941079,0.000120644,0.00005180643,0.000005140788],"category_scores_gemma":[0.00002697433,0.00004836635,0.00001784421,0.0009268955,0.0006507813,0.00008198291,0.00002987149,0.00005557207,2.727216e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003175364,"about_ca_system_score_gemma":0.00003720907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007890863,"about_ca_topic_score_gemma":0.003976293,"domain_scores_codex":[0.9995612,0.000001342598,0.0001061425,0.0000901575,0.00009938773,0.0001417756],"domain_scores_gemma":[0.9996127,0.00002317751,0.00002972927,0.000132156,0.0001620594,0.00004013981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003904892,0.0000128589,0.003018858,0.00001005006,0.000249301,2.507307e-7,0.0002135618,0.05702825,0.9237635,0.01165322,0.00001276266,0.004033491],"study_design_scores_gemma":[0.0001249495,0.00003778425,0.05290491,0.000005972056,0.0001226543,0.000001199233,0.00005877107,0.9455768,0.0003680916,0.00008750813,0.0006582491,0.00005308073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990348,0.00004314653,0.0002734933,0.0001741945,0.00004789334,0.00009352081,0.00001245065,0.00002757915,0.0002928861],"genre_scores_gemma":[0.9993024,0.000005871945,0.0006535912,0.0000152451,0.00001109022,8.695943e-7,7.969065e-7,0.000009429526,7.380521e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9233954,"threshold_uncertainty_score":0.2397831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00998259323874731,"score_gpt":0.2216807881016342,"score_spread":0.2116981948628869,"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."}}