{"id":"W7133081052","doi":"","title":"Towards Optimal Steady State Control of Multi-terminal HVDC Systems","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Control theory (sociology); Steady state (chemistry); Convex optimization; Controller (irrigation); Power (physics); Electric power system; Optimal control; Control (management)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009023905,0.0008810767,0.001580837,0.0004732402,0.000288471,0.0001495386,0.0004678002,0.0005475184,0.001000204],"category_scores_gemma":[0.00008870023,0.001000681,0.0004258715,0.0004819175,0.00004980692,0.0002110311,0.00005557225,0.001195573,0.00008947012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005841851,"about_ca_system_score_gemma":0.0002783118,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01133246,"about_ca_topic_score_gemma":0.0001911011,"domain_scores_codex":[0.9957384,0.0004089694,0.001523666,0.0007464748,0.0008036043,0.0007788574],"domain_scores_gemma":[0.9976017,0.0001069428,0.00100352,0.0006974986,0.0003437617,0.0002466016],"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":[0.001160806,0.0003509281,0.0001306502,0.01345017,0.00148892,0.0001699904,0.05756061,0.8501948,0.05291544,0.0003049801,0.0001914986,0.02208121],"study_design_scores_gemma":[0.005628409,0.001107224,0.001068462,0.001491194,0.0005418833,0.0001416373,0.04659331,0.9268257,0.003035266,0.000003548988,0.01193062,0.00163274],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.80405,0.01968688,0.1462974,0.00004697112,0.01599761,0.007047919,0.0008331518,0.0004415049,0.005598582],"genre_scores_gemma":[0.969144,0.0002498877,0.000344721,0.000003249272,0.0003414013,0.0009095684,0.0003036882,0.000233636,0.02846981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.165094,"threshold_uncertainty_score":0.999913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01698794398509804,"score_gpt":0.3066329158951278,"score_spread":0.2896449719100297,"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."}}