{"id":"W4401357612","doi":"10.1109/tia.2024.3439254","title":"Detailed Modeling of a Practical 1400MW Hydropower Plant and Real-Time Hardware Emulation for Governor Tuning Application","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Emulation; Governor; Hydropower; Computer science; Control engineering; Engineering; Embedded system; Electrical engineering; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00008267554,0.0004586199,0.0002934487,0.0001470548,0.0002311732,0.0003136311,0.0005476369,0.0005543074,0.005020959],"category_scores_gemma":[0.0002037603,0.00021038,0.0003827656,0.0001471386,0.0001960675,0.0004689425,0.0002104303,0.0004314731,0.0006952782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003724653,"about_ca_system_score_gemma":0.0004665064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004031789,"about_ca_topic_score_gemma":0.003666204,"domain_scores_codex":[0.9999256,0.00001222225,0.000003371068,0.0000153221,0.0000363127,0.000007199284],"domain_scores_gemma":[0.9999319,0.00002555645,0.000009609094,0.00001389311,0.00001560982,0.000003321428],"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":[0.00005739529,0.00002290855,0.0008449457,0.0001162367,0.0000133281,0.0001363065,0.00005902455,0.9515309,0.02705984,0.003103445,0.0008008907,0.01625483],"study_design_scores_gemma":[0.00001096841,0.0000489581,0.0006621305,0.000006001404,0.000007945127,0.00006353196,0.0000147233,0.9896707,0.004646437,0.0006548991,0.004208102,0.000005613804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1201631,0.0002374847,0.8464849,0.0002762266,0.00006835686,0.0001864137,0.001058684,0.002786562,0.0287383],"genre_scores_gemma":[0.9240988,0.0002955227,0.05867325,0.00004571088,0.00001723125,0.0002455855,0.0007216861,0.0001246655,0.01577746],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005020959,"threshold_uncertainty_score":0.01679677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01774398033763057,"score_gpt":0.2689592073511257,"score_spread":0.2512152270134951,"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."}}