{"id":"W1911958716","doi":"10.1109/pes.2005.1489346","title":"DC voltage limit compliance in voltage-source converter based multi-terminal HVDC","year":2005,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2005","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Dropout voltage; Forward converter; Electrical engineering; Voltage; Ćuk converter; Voltage regulation; Voltage source; Low-dropout regulator; Voltage multiplier; HVDC converter station; Voltage divider; Boost converter; Reset (finance); Flyback converter; Voltage reference; Voltage regulator; Computer science; Control theory (sociology); Engineering; Finance","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":[0.001222933,0.0003444748,0.0005059448,0.0004333567,0.0003428849,0.0007469078,0.0006674175,0.0005935822,0.0006488829],"category_scores_gemma":[0.003633968,0.0005005982,0.0001600981,0.0006250422,0.0005443587,0.0007210696,0.00050094,0.0006179211,0.0001944171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006370295,"about_ca_system_score_gemma":0.0005575513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002355341,"about_ca_topic_score_gemma":0.001959432,"domain_scores_codex":[0.9992309,0.0002749781,0.0000347078,0.0001070245,0.0003148088,0.00003764795],"domain_scores_gemma":[0.998662,0.0007491689,0.0002122349,0.0001173302,0.0002245601,0.00003469751],"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":[0.0003668432,0.0001315575,0.004001218,0.000283749,0.00002808582,0.0004049622,0.0003352134,0.7090189,0.06126749,0.01032123,0.0008446555,0.2129962],"study_design_scores_gemma":[0.0000153543,0.00009362413,0.001210463,0.00001868984,0.000005492362,0.0001343792,0.00002690814,0.9714921,0.02429266,0.001985128,0.0007063604,0.00001881926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1003495,0.0003336672,0.8955271,0.00009146573,0.00003275494,0.00007869094,0.0000430253,0.0004955821,0.003048263],"genre_scores_gemma":[0.923623,0.000152087,0.07512969,0.00002310746,0.000006591206,0.00004401941,0.00002652211,0.0000488346,0.000946257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002355341,"threshold_uncertainty_score":0.006467581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01509275147998973,"score_gpt":0.2298637824545476,"score_spread":0.2147710309745578,"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."}}