{"id":"W3147033431","doi":"10.1109/mper.2002.4312397","title":"Convertible Static Compensator Performance Studies on the NY State Transmission System","year":2002,"lang":"en","type":"article","venue":"IEEE Power Engineering Review","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Powertech Labs (Canada)","funders":"","keywords":"Transformer; Converters; Installation; Electric power transmission; Engineering; Electric power system; Transmission line; Transmission system; Transient (computer programming); Capacitor; Electrical engineering; Voltage; Maximum power transfer theorem; Electronic engineering; Control theory (sociology); Computer science; Power (physics); Transmission (telecommunications); Control (management); 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":[0.0002770775,0.0003068384,0.000286946,0.0003328412,0.0002839015,0.000362258,0.0002027908,0.0002671882,0.002357872],"category_scores_gemma":[0.001122305,0.00008175163,0.0001786247,0.00049455,0.0002457764,0.0003786552,0.000142588,0.0003731172,0.0002591625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006722654,"about_ca_system_score_gemma":0.0002492869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0273988,"about_ca_topic_score_gemma":0.03119954,"domain_scores_codex":[0.9998682,0.00003732408,0.000008295209,0.00001789549,0.00004766759,0.00002062902],"domain_scores_gemma":[0.9994922,0.0002628398,0.00004575406,0.00003147802,0.0001544442,0.00001327091],"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":[0.001430471,0.0003290385,0.01671997,0.0003370826,0.0001566344,0.0007886844,0.0006068411,0.8809704,0.03283583,0.007840894,0.003107859,0.05487621],"study_design_scores_gemma":[0.0001325242,0.001449968,0.03672169,0.00003527737,0.0001070763,0.0002049645,0.0002141752,0.9382285,0.01932864,0.0007835046,0.002755313,0.00003826245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879634,0.0001915885,0.001976111,0.00004604544,0.000006247056,0.00001759169,0.0001294333,0.00007389735,0.009595524],"genre_scores_gemma":[0.9983231,0.0001026774,0.0003016857,0.000003286744,0.000003123789,0.000004925764,0.0001276641,0.000005951945,0.001127464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0273988,"threshold_uncertainty_score":0.05447865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0295424916635826,"score_gpt":0.2204276895177802,"score_spread":0.1908851978541976,"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."}}