{"id":"W2122928046","doi":"10.1109/pesc.2000.879943","title":"C-UPFC: a new FACTS controller with 4 degrees of freedom","year":2002,"lang":"en","type":"article","venue":"","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Unified power flow controller; Converters; Control theory (sociology); Voltage; Shunt (medical); Transmission line; AC power; Maximum power transfer theorem; Electric power transmission; Electric power system; Controller (irrigation); Engineering; Power flow; Power (physics); Computer science; Electrical engineering; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001873908,0.0005795885,0.0005212327,0.0006802833,0.0005160074,0.0009741376,0.001192024,0.0008887898,0.00448631],"category_scores_gemma":[0.0003200449,0.000146048,0.0002188518,0.0003945117,0.0003257817,0.0007286605,0.0003447974,0.0009923805,0.001092204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004600809,"about_ca_system_score_gemma":0.000501326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002828877,"about_ca_topic_score_gemma":0.003563657,"domain_scores_codex":[0.9998211,0.00001117603,0.00001188132,0.00003566114,0.0001004941,0.00001972182],"domain_scores_gemma":[0.9998165,0.00002530083,0.00002792452,0.00002388463,0.00008799222,0.00001851694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007511359,0.0003041171,0.001158461,0.0004847582,0.0001515269,0.001021765,0.0001808379,0.113338,0.06667762,0.03099077,0.03347938,0.7514617],"study_design_scores_gemma":[0.0004154155,0.0006039218,0.001307367,0.00007819009,0.0001456044,0.001197661,0.00002889973,0.8352675,0.04486559,0.008419789,0.1075708,0.0000992813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07865001,0.00192136,0.8484434,0.0006513655,0.001069824,0.000279202,0.0006056133,0.01363388,0.05474534],"genre_scores_gemma":[0.8788824,0.0006405921,0.1020722,0.0004159791,0.000521313,0.0001765242,0.0003981106,0.00007740059,0.0168154],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00448631,"threshold_uncertainty_score":0.01500827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01530668807174595,"score_gpt":0.1750220722169283,"score_spread":0.1597153841451824,"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."}}