{"id":"W2534266921","doi":"10.1109/pedes.2010.5712553","title":"Simulation of hybrid power flow controller","year":2010,"lang":"en","type":"article","venue":"","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Emtp; AC power; Converters; Controller (irrigation); Control theory (sociology); Computer science; Flexible AC transmission system; Electric power system; Power (physics); Unified power flow controller; Power control; Power-flow study; Power flow; Voltage; Transmission system; Control engineering; Transmission (telecommunications); Engineering; Electrical engineering; Control (management); Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003028426,0.0004999838,0.0005552295,0.0004372364,0.0003613609,0.00077412,0.000836117,0.001035573,0.007085554],"category_scores_gemma":[0.0007852756,0.0001933466,0.0003962815,0.0003088535,0.0004243724,0.0005329265,0.0003702394,0.0006164376,0.0003303287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005055469,"about_ca_system_score_gemma":0.0005348182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01053102,"about_ca_topic_score_gemma":0.003938781,"domain_scores_codex":[0.9998223,0.00005227352,0.000007939545,0.00002569524,0.0000510516,0.00004073979],"domain_scores_gemma":[0.9995787,0.0002244449,0.00003253247,0.00003636052,0.0001018909,0.00002613284],"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":[0.00008065916,0.00004126556,0.0005177327,0.00003770895,0.0000121946,0.00008945099,0.00003344928,0.992723,0.001168132,0.002063929,0.0004026107,0.002829772],"study_design_scores_gemma":[0.00002257053,0.00003329577,0.0001343901,0.000002718624,0.000003114826,0.000008712251,0.00000941051,0.9984614,0.0005399015,0.0003841773,0.0003972079,0.000003155067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6688262,0.0004143153,0.2593518,0.0003779792,0.0002348957,0.0002858617,0.00144791,0.002574102,0.06648684],"genre_scores_gemma":[0.984854,0.00007144228,0.01094395,0.00002516432,0.000007739696,0.0001281354,0.0002510759,0.00003508879,0.003683451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01053102,"threshold_uncertainty_score":0.02370358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004730906916381053,"score_gpt":0.2044590160425567,"score_spread":0.1997281091261757,"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."}}