{"id":"W4312609385","doi":"10.1109/pesgm48719.2022.9917232","title":"Series Compensated Transmission Lines: Overvoltage Assessment for Additional Compensation Scenarios","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power &amp; Energy Society General Meeting (PESGM)","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Hydro (Canada)","funders":"BC Hydro","keywords":"Overvoltage; Compensation (psychology); Electric power transmission; Emtp; Capacitor; Surge; Transmission line; Electrical engineering; Line (geometry); Electric power system; Work (physics); Voltage; Computer science; Engineering; Electronic engineering; Power (physics); Physics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002898083,0.0006452479,0.0002366432,0.0006420467,0.0002089086,0.0005529997,0.0006755698,0.0007928832,0.003054398],"category_scores_gemma":[0.0007817828,0.0001310594,0.0002901063,0.0004702749,0.0001659717,0.001050217,0.0002279746,0.0004010513,0.0002853816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005841954,"about_ca_system_score_gemma":0.0002065083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002880539,"about_ca_topic_score_gemma":0.005239542,"domain_scores_codex":[0.9998268,0.00005427986,0.000008468034,0.000023157,0.0000647929,0.00002239924],"domain_scores_gemma":[0.9995322,0.0001266695,0.00009106867,0.0000550078,0.0001690268,0.00002598226],"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":[0.0009179182,0.0002038267,0.02518856,0.0002976947,0.00008862928,0.001341029,0.0002036046,0.835897,0.06856599,0.002247347,0.003276739,0.06177175],"study_design_scores_gemma":[0.0000453485,0.0007311546,0.01967336,0.00003445079,0.0000598267,0.0003902936,0.0001859262,0.9532332,0.02221542,0.001392307,0.002008453,0.00003018483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.92431,0.0002107248,0.06203186,0.0001805337,0.00002941015,0.0001113846,0.000870645,0.0007630678,0.01149231],"genre_scores_gemma":[0.9961104,0.000039163,0.002947456,0.000008176742,0.000003130616,0.000006926591,0.0001696635,0.00001210315,0.000703037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003054398,"threshold_uncertainty_score":0.01021802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01457275328632652,"score_gpt":0.2467933414509224,"score_spread":0.2322205881645959,"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."}}