{"id":"W2244182783","doi":"10.1109/epec.2015.7379928","title":"A generic algorithm for peak fault current calculation in HVDC links","year":2015,"lang":"en","type":"article","venue":"","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Reactance; Current (fluid); Inductance; Fault (geology); Control theory (sociology); Controller (irrigation); Algorithm; Fault current limiter; Computer science; Voltage; Physics; Electrical engineering; Engineering; Power (physics); Electric power system; 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":[0.0005882555,0.001177623,0.0008822709,0.001663851,0.0006649031,0.001478753,0.001604532,0.00103342,0.005871044],"category_scores_gemma":[0.002733107,0.0004283338,0.0004617603,0.0013065,0.0003402219,0.001295572,0.0008691855,0.0008962627,0.003378229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005761786,"about_ca_system_score_gemma":0.0008891603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001204744,"about_ca_topic_score_gemma":0.0009572402,"domain_scores_codex":[0.9993353,0.00007523649,0.00008607974,0.0001778922,0.0002779894,0.00004744359],"domain_scores_gemma":[0.9993025,0.0001643782,0.00009453853,0.0001377072,0.0002806501,0.00002020592],"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":[0.000191931,0.00009379105,0.001291231,0.0004193901,0.00006054225,0.0001557952,0.0001764832,0.09645099,0.0289648,0.01670122,0.006254446,0.8492393],"study_design_scores_gemma":[0.000137937,0.0001740964,0.001602517,0.00008210927,0.00005302449,0.0006646923,0.00007279502,0.9063084,0.04506298,0.01314486,0.03261384,0.00008278483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008124189,0.00005139206,0.9971007,0.00001069773,0.00001731247,0.00004096184,0.00003686476,0.001419694,0.0005099556],"genre_scores_gemma":[0.04478412,0.0001736636,0.9524143,0.00003786072,0.00003946101,0.0002394645,0.0003388104,0.0003170514,0.001655294],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005871044,"threshold_uncertainty_score":0.01964062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03327836928740489,"score_gpt":0.2782807308563108,"score_spread":0.2450023615689059,"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."}}