{"id":"W2670742973","doi":"10.1299/jsmeicone.2015.23._icone23-1_446","title":"ICONE23-1952 Co-Simulation for Real Time Safety Verification of Nuclear Power Plants","year":2015,"lang":"en","type":"article","venue":"The Proceedings of the International Conference on Nuclear Engineering (ICONE)","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Reliability engineering; Computer science; Reliability (semiconductor); Process (computing); Fault (geology); Nuclear power plant; Hazard; System safety; Multiphysics; Bayesian network; Probabilistic logic; Engineering; Power (physics); Artificial intelligence; Finite element method","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009053663,0.001180631,0.0007332933,0.0006899619,0.0004986105,0.001179532,0.001333366,0.0009793475,0.02069452],"category_scores_gemma":[0.001912891,0.000416644,0.001085688,0.000544558,0.0004722317,0.0006824317,0.0008665803,0.001334848,0.00233963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009631463,"about_ca_system_score_gemma":0.001720664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01705446,"about_ca_topic_score_gemma":0.01445181,"domain_scores_codex":[0.9995191,0.0001331735,0.00002911241,0.00007148104,0.0001769347,0.00007022568],"domain_scores_gemma":[0.9989826,0.0004266032,0.00005876995,0.0001655465,0.000292167,0.00007423347],"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":[0.0002374105,0.0001126639,0.001807693,0.0001584974,0.00005518536,0.0001143744,0.00007005124,0.963416,0.004570758,0.005715308,0.006912517,0.0168295],"study_design_scores_gemma":[0.00003040006,0.00004023233,0.0002496524,0.00001272821,0.00001122738,0.00001262933,0.000009372564,0.9902845,0.002739191,0.0007646987,0.005836641,0.000008734874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.17961,0.0009221596,0.6557165,0.0007072476,0.001016386,0.000755726,0.007473733,0.03621623,0.1175819],"genre_scores_gemma":[0.7926878,0.0003968098,0.1682013,0.0001848132,0.00004335318,0.001137644,0.008310734,0.002093168,0.02694431],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02069452,"threshold_uncertainty_score":0.06923008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02615772290802851,"score_gpt":0.2383948659023405,"score_spread":0.212237142994312,"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."}}