{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003106247,0.0003944775,0.0004885256,0.0005418492,0.001086367,0.002644341,0.001229979,0.00266777,0.00214032],"category_scores_gemma":[0.006529815,0.0004176459,0.0003996948,0.0006741879,0.003987088,0.003854924,0.001855847,0.003068263,0.0002776903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002465028,"about_ca_system_score_gemma":0.001299952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005167476,"about_ca_topic_score_gemma":0.00266349,"domain_scores_codex":[0.9977768,0.0005733682,0.0001003897,0.0004255528,0.0009676932,0.0001561661],"domain_scores_gemma":[0.9969075,0.001888386,0.000223849,0.0002288307,0.0006176697,0.0001337518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009087664,0.00008783799,0.001987531,0.0003220415,0.00003252628,0.0005357584,0.001235464,0.2075762,0.002725146,0.6216404,0.005029931,0.1587362],"study_design_scores_gemma":[0.00002298654,0.0001816547,0.001642409,0.0001549689,0.00001510156,0.000437675,0.001118209,0.4074909,0.002796298,0.516732,0.06935043,0.00005747828],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.1207137,0.03342748,0.7151608,0.04857213,0.0008999475,0.0000825153,0.0001313563,0.0005151932,0.08049687],"genre_scores_gemma":[0.9279034,0.00835989,0.05206655,0.001103618,0.0006614901,0.00007181278,0.00006998512,0.0001237722,0.009639393],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.005167476,"threshold_uncertainty_score":0.01788509,"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."}}