{"id":"W1540838852","doi":"10.1109/icpe.2015.7168025","title":"A three-port power flow controller for HVDC grids","year":2015,"lang":"en","type":"article","venue":"","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"HVDC converter; Electrical engineering; Computer science; Controller (irrigation); Port (circuit theory); Power (physics); Voltage; Power flow; Forward converter; Electronic engineering; Engineering; Electric power system; Topology (electrical circuits); Boost converter; 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":[0.0001689557,0.0003431078,0.0002226971,0.0002423222,0.0003672638,0.0007984643,0.000769789,0.0003136993,0.005775483],"category_scores_gemma":[0.0002461451,0.0001078538,0.0001488175,0.0001746514,0.0002089588,0.0005346269,0.0002202352,0.0007737926,0.001114343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002493259,"about_ca_system_score_gemma":0.0003019687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006261354,"about_ca_topic_score_gemma":0.0006929768,"domain_scores_codex":[0.9998821,0.00001684013,0.00000759113,0.00002587748,0.00005718455,0.00001034389],"domain_scores_gemma":[0.9998783,0.00002234025,0.00001147369,0.00002122267,0.00005572653,0.00001096329],"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":[0.0005101559,0.0004146729,0.001015015,0.0004519202,0.00006233342,0.0006923458,0.0002612136,0.06570715,0.2232361,0.07203627,0.01809363,0.6175193],"study_design_scores_gemma":[0.000171945,0.0004914778,0.0006763823,0.00006122607,0.00004352407,0.000771306,0.00004372881,0.7625263,0.1468116,0.01107389,0.07726428,0.00006434796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02205738,0.0002962144,0.946272,0.0001627814,0.0003008602,0.000179939,0.0001176238,0.004904907,0.02570829],"genre_scores_gemma":[0.8397162,0.0003693637,0.1428485,0.000278962,0.0001562047,0.0001891737,0.00023339,0.0001780713,0.01603018],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005775483,"threshold_uncertainty_score":0.01932091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02009470641650702,"score_gpt":0.2237239620794012,"score_spread":0.2036292556628942,"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."}}