{"id":"W2023968813","doi":"10.1002/prs.11725","title":"FSN‐based cosimulation for fault propagation analysis in nuclear power plants","year":2014,"lang":"en","type":"article","venue":"Process Safety Progress","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Reliability engineering; Nuclear power; System safety; Nuclear power plant; Fault (geology); Process (computing); Engineering; Risk analysis (engineering); Functional safety; Multiphysics; Systems engineering; Computer science","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":[0.002147453,0.000928594,0.0006762104,0.0007494414,0.0004649845,0.0005922887,0.0009504859,0.0006267315,0.00167078],"category_scores_gemma":[0.005190882,0.0002487274,0.001135613,0.0004104479,0.0008713208,0.000700645,0.0009228538,0.001048128,0.0001417993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001646941,"about_ca_system_score_gemma":0.00154158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02367882,"about_ca_topic_score_gemma":0.01233426,"domain_scores_codex":[0.9991537,0.0003764385,0.00004833692,0.0001279549,0.0001819534,0.000111473],"domain_scores_gemma":[0.9971,0.002126376,0.0002469625,0.000117451,0.0003489927,0.00006028224],"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":[0.00002506237,0.00001729329,0.0002904796,0.00001359199,0.00000972782,0.00002041244,0.00002912617,0.9904321,0.0004236958,0.005587579,0.00003073439,0.003120294],"study_design_scores_gemma":[0.000001776524,0.000005811204,0.00002090393,0.000001235666,0.000001939239,0.000001381616,0.00000288399,0.9987348,0.0001937688,0.0009839584,0.00005058368,9.772555e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07091059,0.00008783365,0.9261685,0.0001209274,0.0000318025,0.00005105917,0.00006012203,0.0003103268,0.002258825],"genre_scores_gemma":[0.8950071,0.0001062292,0.1030487,0.00005241851,0.00001748631,0.0002017677,0.0001293831,0.00005719152,0.00137976],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02367882,"threshold_uncertainty_score":0.04708195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03800302963166576,"score_gpt":0.3728069120040991,"score_spread":0.3348038823724334,"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."}}