{"id":"W4402261885","doi":"10.23919/acc60939.2024.10644748","title":"Process Control Evolution and Challenges in Nuclear Power Plants","year":2024,"lang":"en","type":"article","venue":"","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Power Generation","funders":"","keywords":"Process (computing); Nuclear power; Process control; Computer science; Control (management); Power control; Power (physics); Artificial intelligence; Physics; Operating system; Nuclear physics","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":[0.00003047904,0.00006553962,0.00006746929,0.0000559619,0.000006277312,0.00002405075,0.00002661111,0.00003138819,0.00001934349],"category_scores_gemma":[0.000001305798,0.000060933,0.00000935139,0.00004449739,0.000004688311,0.0001162986,0.000004672647,0.00008272949,0.00003055336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002502082,"about_ca_system_score_gemma":0.000002057421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003833182,"about_ca_topic_score_gemma":0.000003673931,"domain_scores_codex":[0.9997082,0.000001620156,0.00005568432,0.00008298239,0.00004315675,0.0001083214],"domain_scores_gemma":[0.9999141,0.00001010412,0.000001561969,0.00004417708,0.000002904691,0.00002722155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004085706,0.0001024182,0.0005015231,0.004238375,0.0003578961,0.0001983438,0.009649916,0.0397689,0.07826688,0.7324989,0.001717507,0.1326584],"study_design_scores_gemma":[0.0004416376,0.00004059288,0.01127258,0.0002810881,0.000007816208,0.00002463417,0.000741126,0.926102,0.0001201153,0.002092909,0.05849193,0.000383513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8993152,0.01787531,0.0005766933,0.0002429988,0.0004611247,0.0001331261,0.000008047527,0.001185161,0.08020227],"genre_scores_gemma":[0.9991592,0.0007561983,0.00001188826,0.000003578279,0.0000297018,0.000002372909,3.845847e-7,0.00003041447,0.000006266073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8863332,"threshold_uncertainty_score":0.2484776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.010101182052359,"score_gpt":0.1852234148404184,"score_spread":0.1751222327880594,"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."}}