{"id":"W2080448569","doi":"10.1109/sege.2015.7324611","title":"Pilot buses selection based on reduced Jacobian matrix","year":2015,"lang":"en","type":"article","venue":"","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; École de Technologie Supérieure","funders":"Saint Joseph University; Université Libanaise; Agence Universitaire de la Francophonie; École de technologie supérieure","keywords":"Jacobian matrix and determinant; Cluster analysis; Selection (genetic algorithm); Control theory (sociology); Computer science; Margin (machine learning); Voltage; Matrix (chemical analysis); Mathematical optimization; Electric power system; Bifurcation; Medoid; Algorithm; Power (physics); Engineering; Mathematics; Artificial intelligence; Control (management); Machine learning","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001465231,0.00007888622,0.0000818051,0.00006139727,0.00002092876,0.00002711107,0.00004779144,0.00002539511,0.0002383902],"category_scores_gemma":[0.0000505926,0.00007189427,0.00001976199,0.0001755598,0.00000568515,0.00006236924,0.000003224537,0.00005271627,0.0001557356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001068239,"about_ca_system_score_gemma":0.00003369326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003602546,"about_ca_topic_score_gemma":0.00005628739,"domain_scores_codex":[0.9995204,0.00002951468,0.0001240773,0.00009907565,0.0001156152,0.0001112905],"domain_scores_gemma":[0.9996888,0.00002006459,0.000009813941,0.0001304109,0.00005406174,0.00009686871],"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":[0.00004055041,0.00006622596,0.001056908,0.00003033299,0.000008449766,5.919836e-7,0.0001152055,0.9724722,0.001699288,0.0004425141,0.02391762,0.000150152],"study_design_scores_gemma":[0.000485175,0.0001496105,0.0007616871,0.00001018097,0.000003605558,0.000001534456,0.00005960142,0.9877161,0.005317053,0.00001497335,0.005341852,0.0001385816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1039103,0.00003830051,0.5051322,0.0002770254,0.001854826,0.000423298,0.00000792627,0.002635815,0.3857203],"genre_scores_gemma":[0.9966708,5.859674e-7,0.00237124,0.00005358089,0.00002447278,0.000009654608,0.000005201613,0.00001503974,0.0008494023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8927605,"threshold_uncertainty_score":0.2931763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03005271409243384,"score_gpt":0.2526849419229589,"score_spread":0.222632227830525,"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."}}