{"id":"W1865379289","doi":"10.1109/pesc.2003.1216625","title":"An efficient control of the series compensator for sag mitigation and voltage regulation","year":2004,"lang":"en","type":"article","venue":"","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Voltage sag; Control theory (sociology); Series (stratigraphy); Voltage; Voltage regulation; Computer science; Control (management); Voltage regulator; Control system; Control engineering; Engineering; Power quality; Electrical engineering; Geology","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":[],"consensus_categories":[],"category_scores_codex":[0.00008593764,0.0000369622,0.00005634551,0.00000981308,0.0000352652,0.000009686813,0.00003045096,0.00002480262,0.000004796452],"category_scores_gemma":[0.000008095105,0.0000279197,0.00001732228,0.00002707932,0.0000279962,0.00005431978,0.000002721084,0.00001964842,4.368232e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001497893,"about_ca_system_score_gemma":0.000006455617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005675112,"about_ca_topic_score_gemma":0.00001610828,"domain_scores_codex":[0.9997617,0.000005889172,0.00009036928,0.00004190661,0.00004732413,0.00005279074],"domain_scores_gemma":[0.9998476,0.00001736089,0.00001547131,0.00008182945,0.00002106208,0.00001666441],"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":[0.00003473693,0.00003706374,0.0003801584,0.0001478159,0.00002595249,8.668511e-8,0.001491571,0.5147121,0.226381,0.2561387,0.00004927097,0.0006016042],"study_design_scores_gemma":[0.002405453,0.0001152468,0.08333807,0.00004744191,0.00003866855,0.000003895316,0.0003422091,0.4687464,0.4313138,0.01201546,0.001446137,0.0001871776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.77186,0.00004196176,0.2274886,0.0001512836,0.00007339352,0.0001785531,0.00001802735,0.00004287776,0.0001452635],"genre_scores_gemma":[0.9991058,0.000001719679,0.0008215811,0.00002881335,0.0000131273,0.0000049929,0.000003988268,0.000004822614,0.00001514516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2441232,"threshold_uncertainty_score":0.1138532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008474704318145097,"score_gpt":0.2135620519454645,"score_spread":0.2050873476273194,"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."}}