{"id":"W2775637800","doi":"10.1109/iecon.2017.8216196","title":"Fault calculations in AC-DC hybrid systems","year":2017,"lang":"en","type":"article","venue":"IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Fault (geology); Converters; Hybrid system; Grid; Renewable energy; Fault detection and isolation; Power (physics); Smart grid; Distributed generation; Electrical engineering; Electronic engineering; Engineering; Voltage; 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":[0.0002065304,0.0002902616,0.0003654189,0.0007454455,0.0004833219,0.0009378162,0.0006029271,0.0005314721,0.00603414],"category_scores_gemma":[0.001397608,0.0002438847,0.000241731,0.0007274196,0.0003749094,0.0009825751,0.0004641595,0.0004325581,0.0008296624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006081742,"about_ca_system_score_gemma":0.0004004404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009033545,"about_ca_topic_score_gemma":0.006020159,"domain_scores_codex":[0.9998647,0.00002723085,0.000008608432,0.0000178856,0.00006473125,0.00001681116],"domain_scores_gemma":[0.9996227,0.000170864,0.00002330748,0.00004079875,0.0001239681,0.00001837755],"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":[0.00006188131,0.00001712884,0.001309205,0.00009256075,0.00001701024,0.000198583,0.0001084261,0.9127221,0.00272995,0.03172433,0.001751041,0.04926775],"study_design_scores_gemma":[0.000005202591,0.000009709437,0.0001951511,0.000007494854,0.000002475232,0.00004117954,0.00003007839,0.9892582,0.000802952,0.007793643,0.001849271,0.0000046159],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06796204,0.0006244445,0.8995841,0.0001703607,0.0001065472,0.00006567545,0.0002869005,0.001477973,0.029722],"genre_scores_gemma":[0.9288814,0.0003019799,0.06130333,0.00006308094,0.00003541139,0.00005671166,0.0001830406,0.0001782081,0.008996941],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009033545,"threshold_uncertainty_score":0.02018619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05794163564712468,"score_gpt":0.2673680061909222,"score_spread":0.2094263705437975,"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."}}