{"id":"W2154843985","doi":"10.1109/tns.2010.2103325","title":"A Hardware-in-the-Loop Simulation Platform for the Verification and Validation of Safety Control Systems","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Nuclear Science","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"U.S. Nuclear Regulatory Commission","keywords":"Hardware-in-the-loop simulation; Data acquisition; Benchmark (surveying); Programmable logic controller; Ethernet; Controller (irrigation); Interface (matter); SCADA; Embedded system; Control system; Control logic; Computer hardware; Computer science; Engineering; Simulation; Operating system; Electrical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006962919,0.00007614816,0.0001022787,0.0001081589,0.0002253081,0.00006588741,0.0001813525,0.00003832663,0.00001016865],"category_scores_gemma":[0.00001109878,0.00005269692,0.00003677807,0.0002957618,0.00009786903,0.0003711474,3.355081e-7,0.0000686587,0.000007043371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004303571,"about_ca_system_score_gemma":0.00001407596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005662633,"about_ca_topic_score_gemma":0.000006136897,"domain_scores_codex":[0.9992579,0.00002397087,0.0002519486,0.0001290332,0.0002127259,0.0001243877],"domain_scores_gemma":[0.9993733,0.0002426755,0.00005505393,0.0002250818,0.00007705861,0.00002679357],"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":[0.00005958356,0.00001697001,0.000008341021,0.00002010012,0.000007939985,5.831523e-8,0.001310037,0.9909433,0.002345618,0.0004332704,0.000002448739,0.00485232],"study_design_scores_gemma":[0.0005418204,0.0000502451,0.001675152,0.00001914306,0.00001876433,0.000001497864,0.0005588236,0.9961593,0.0006031379,0.00001152171,0.0003009046,0.00005974305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2157422,0.00003706712,0.781477,0.00004549025,0.0005352573,0.001183512,0.00001997516,0.00008002743,0.0008794041],"genre_scores_gemma":[0.9998007,0.00001351507,0.00008236791,0.00001664528,0.00001420478,0.00004062485,2.091749e-7,0.0000102673,0.00002149679],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7840585,"threshold_uncertainty_score":0.2148918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02978902046814222,"score_gpt":0.2375482517123197,"score_spread":0.2077592312441775,"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."}}