{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001303671,0.0002419477,0.0004548683,0.001302896,0.00009510336,0.00001458765,0.0002830159,0.0001560112,0.0001410663],"category_scores_gemma":[0.00002178753,0.0003032117,0.0000955233,0.001795842,0.00005238079,0.0000528166,0.0002483959,0.0004704701,0.000003872175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001841699,"about_ca_system_score_gemma":0.000009597711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002860806,"about_ca_topic_score_gemma":0.000002458323,"domain_scores_codex":[0.9988613,0.00001148563,0.0003065989,0.0002592997,0.0001865178,0.0003747864],"domain_scores_gemma":[0.9993808,0.00002558173,0.00004430769,0.0004469667,0.00002434936,0.00007797751],"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":[0.000005615449,0.00002712613,0.00009208327,0.00004691844,0.0006589275,0.00002005016,0.000305201,0.877364,0.1167975,0.003326657,0.000122405,0.001233564],"study_design_scores_gemma":[0.0002617634,0.00008938547,0.0002225605,0.00001442545,0.0002659287,0.00004670769,0.0002658545,0.958832,0.002810113,0.0000213909,0.03684789,0.0003219821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948269,0.001150631,0.00155148,0.00008649011,0.0003127829,0.0001182046,0.00002355703,0.001537358,0.0003926245],"genre_scores_gemma":[0.9951555,0.00005442397,0.004583049,0.00001172203,0.00002139715,0.00001786816,0.000005994237,0.0001311169,0.0000189401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1139874,"threshold_uncertainty_score":0.999942,"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."}}