{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00372966,0.0002283565,0.0006393134,0.000976819,0.00030441,0.0002553523,0.0007047551,0.000166467,0.0002067306],"category_scores_gemma":[0.001456248,0.0001756635,0.0003372696,0.003172891,0.0001206495,0.0005407981,0.00004500709,0.000141947,0.00007710983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006802561,"about_ca_system_score_gemma":0.00006780372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001228018,"about_ca_topic_score_gemma":0.0001464247,"domain_scores_codex":[0.9960486,0.000296591,0.001061283,0.0008046729,0.001386394,0.0004024777],"domain_scores_gemma":[0.9971807,0.0008663014,0.000532981,0.0005739,0.0007192649,0.0001268579],"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":[0.002040785,0.0005560218,0.295157,0.00007786788,0.0002703546,0.000002560789,0.001926476,0.4912756,0.00005313285,0.002417646,0.0003754783,0.2058471],"study_design_scores_gemma":[0.001127991,0.0001108432,0.06009908,0.00002552115,0.000159006,5.945963e-7,0.0003527546,0.9219454,0.0001997619,0.008293382,0.007412577,0.0002730978],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5346556,0.0002867867,0.4512981,0.007490232,0.0002615751,0.002133945,0.0001437666,0.0002706389,0.0034593],"genre_scores_gemma":[0.9966007,0.00000713014,0.002833186,0.0002187555,0.00004558231,0.00008968962,0.00009847498,0.00002190574,0.00008457953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4619451,"threshold_uncertainty_score":0.7163348,"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."}}