{"id":"W4414396379","doi":"10.1016/j.epsr.2025.112215","title":"Integration of the EMT-H water conduit model with the turbine control system for power system dynamics","year":2025,"lang":"en","type":"article","venue":"Electric Power Systems Research","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Hydro (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrical conduit; Electric power system; Turbine; System dynamics; Control system; Control theory (sociology); Power (physics); Water hammer","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":[0.0001968095,0.0003965869,0.0003646291,0.0001586045,0.000331834,0.0005200734,0.0006745182,0.0007220529,0.004171157],"category_scores_gemma":[0.0005686401,0.0001823065,0.0004018498,0.0001997451,0.0002304891,0.000723051,0.0002908474,0.001006088,0.0005594949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002769531,"about_ca_system_score_gemma":0.0005202663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009404331,"about_ca_topic_score_gemma":0.01134912,"domain_scores_codex":[0.9999083,0.00002281389,0.000005570953,0.00001439698,0.00003959878,0.00000924296],"domain_scores_gemma":[0.9998592,0.00005313838,0.00001898616,0.00001673647,0.00004380805,0.000008052598],"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":[0.00005121658,0.00004362084,0.0003838215,0.00005141076,0.00001672964,0.0001502516,0.00005302663,0.9700606,0.005827842,0.01044763,0.0007311748,0.01218259],"study_design_scores_gemma":[0.000005730717,0.0000213324,0.00007862019,0.00000187196,0.000002849063,0.00001247207,0.000003852423,0.9982791,0.0004804084,0.0004756494,0.0006355906,0.000002538808],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05194833,0.0001277293,0.9294427,0.0002982988,0.0001435633,0.00009248156,0.0001653545,0.0006808145,0.01710085],"genre_scores_gemma":[0.9425061,0.0001693709,0.04588784,0.00005835216,0.00003631536,0.0001300018,0.0001338242,0.0000646,0.01101357],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009404331,"threshold_uncertainty_score":0.01869917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01352187973888766,"score_gpt":0.2586777597606688,"score_spread":0.2451558800217812,"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."}}