{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003149663,0.0006299381,0.0005757646,0.0009413275,0.0003431894,0.0005096641,0.0003813617,0.000317583,0.002080205],"category_scores_gemma":[0.001535648,0.000216214,0.0002526274,0.0004366712,0.0003286936,0.0004674791,0.0003753225,0.0002818179,0.0004141532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002263267,"about_ca_system_score_gemma":0.0006021443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002238669,"about_ca_topic_score_gemma":0.002433276,"domain_scores_codex":[0.9997855,0.00006271335,0.00001227308,0.00004929013,0.00006262669,0.00002772208],"domain_scores_gemma":[0.9996433,0.0001179722,0.00005860151,0.00003118854,0.0001227121,0.00002618401],"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":[0.0005099409,0.0001074061,0.002479613,0.0001846979,0.00004698161,0.0002458276,0.000308399,0.5189739,0.03843735,0.0103448,0.004253987,0.424107],"study_design_scores_gemma":[0.00003593632,0.0001168872,0.0007546605,0.00001299709,0.00001536663,0.00007378712,0.00004194703,0.9885672,0.006495875,0.002940472,0.0009339125,0.00001088841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06976957,0.0001455458,0.9270716,0.00008759832,0.00002581657,0.0000960914,0.00005518165,0.0004730944,0.002275519],"genre_scores_gemma":[0.7224541,0.0001508571,0.2746592,0.00003111832,0.0000254901,0.0001570032,0.0002268649,0.00007011606,0.002225198],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002238669,"threshold_uncertainty_score":0.006958961,"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."}}