{"id":"W1997216979","doi":"10.1049/iet-gtd.2014.0873","title":"Online re‐dispatching of power systems based on modal sensitivity identification","year":2015,"lang":"en","type":"article","venue":"IET Generation Transmission & Distribution","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Major State Basic Research Development Program of China; National Natural Science Foundation of China","keywords":"Sensitivity (control systems); Identification (biology); Computer science; Key (lock); Modal; Electric power system; Data mining; Online model; Power (physics); Engineering; Mathematics; Electronic engineering","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":[0.000650397,0.001070174,0.0007625744,0.0007622376,0.0003508013,0.0005886205,0.0006614216,0.0003998364,0.002643194],"category_scores_gemma":[0.001681199,0.00035946,0.000637621,0.0003159955,0.0003769826,0.001366976,0.0007971054,0.0008965462,0.0003653052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003798768,"about_ca_system_score_gemma":0.0004497311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001643043,"about_ca_topic_score_gemma":0.001696667,"domain_scores_codex":[0.9995853,0.0001346027,0.00002518767,0.00007454202,0.0001439065,0.00003646101],"domain_scores_gemma":[0.9994287,0.0002706516,0.00006398404,0.0001128424,0.0001039408,0.00001989773],"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":[0.0001160845,0.0001049316,0.0005651739,0.0001085133,0.00005985509,0.0001600074,0.0001637538,0.7608,0.02484697,0.009434952,0.001209673,0.2024301],"study_design_scores_gemma":[0.000003152907,0.00001873179,0.0001461075,0.00000238909,0.000003889231,0.00001783821,0.000007122105,0.9955231,0.002405793,0.001585293,0.0002801952,0.000006435574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01813076,0.00005228192,0.978689,0.0000412526,0.00002843644,0.00005376804,0.00001939173,0.0006873742,0.00229776],"genre_scores_gemma":[0.8520995,0.00009148058,0.145133,0.00003961425,0.0000232475,0.0000884985,0.00007372379,0.0001514294,0.002299445],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002643194,"threshold_uncertainty_score":0.008842349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02851218754252289,"score_gpt":0.2446700057486677,"score_spread":0.2161578182061449,"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."}}