{"id":"W4312213368","doi":"10.1016/j.net.2022.12.028","title":"BEPU analysis of a CANDU LBLOCA RD-14M experiment using RELAP/SCDAPSIM","year":2022,"lang":"en","type":"article","venue":"Nuclear Engineering and Technology","topic":"Nuclear Engineering Thermal-Hydraulics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"University Network of Excellence in Nuclear Engineering; McMaster University","keywords":"Nuclear engineering; Header; Coolant; Thermal hydraulics; Loss-of-coolant accident; Environmental science; Engineering; Mechanical engineering; Mechanics; Physics; Mathematics; Statistics; Heat transfer","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001211909,0.0004543956,0.0004353684,0.0005734463,0.0006496577,0.0004447162,0.0009688419,0.0004650893,0.003092407],"category_scores_gemma":[0.00141175,0.0002679619,0.0005614105,0.0005268596,0.0003907066,0.0004040196,0.0005413851,0.0008620688,0.0005039604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001271247,"about_ca_system_score_gemma":0.0006575133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00824563,"about_ca_topic_score_gemma":0.008020396,"domain_scores_codex":[0.9995498,0.00005195505,0.00001377088,0.00009359038,0.0002484579,0.00004236482],"domain_scores_gemma":[0.998825,0.0004204317,0.00009054957,0.0001928957,0.000403909,0.00006731832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003906286,0.0007721545,0.0788423,0.000585402,0.0001839298,0.0011001,0.0005540281,0.4234411,0.4238439,0.00405568,0.008835104,0.05387999],"study_design_scores_gemma":[0.0001221686,0.001175965,0.0436736,0.00002921807,0.00005661096,0.0001411009,0.0001689005,0.5634887,0.3850088,0.0007295426,0.005343099,0.00006222795],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9441397,0.00008441407,0.03484678,0.0001783761,0.00003860872,0.0001147626,0.003528113,0.004115927,0.01295327],"genre_scores_gemma":[0.9847206,0.00003369729,0.01108762,0.00004828456,0.000003791249,0.00008494432,0.001461607,0.0003883925,0.002171096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00824563,"threshold_uncertainty_score":0.01639527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005036922488991369,"score_gpt":0.1793880253555901,"score_spread":0.1743511028665988,"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."}}