{"id":"W2100979659","doi":"10.1109/lescpe.2004.1356272","title":"On-line transient stability assessment using artificial neural network","year":2004,"lang":"en","type":"article","venue":"","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Artificial neural network; Transient (computer programming); Computer science; Stability (learning theory); Electric power system; Artificial intelligence; Ranking (information retrieval); Selection (genetic algorithm); Line (geometry); Time delay neural network; Scheme (mathematics); Machine learning; Power (physics); Control theory (sociology); Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002614357,0.0001412685,0.0001753607,0.00002523901,0.00007612526,0.00003787781,0.00007274457,0.00005522013,0.0003843956],"category_scores_gemma":[0.000009576978,0.000127542,0.00007120128,0.0001861394,0.00002394646,0.00008076446,0.000008830555,0.0001288184,0.00001007806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002664368,"about_ca_system_score_gemma":0.00003707204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002182181,"about_ca_topic_score_gemma":0.00008747018,"domain_scores_codex":[0.9989884,0.00003943371,0.000332689,0.0001884066,0.0001842162,0.0002668622],"domain_scores_gemma":[0.9995591,0.0000328036,0.00001716411,0.0002569344,0.00003621954,0.00009775686],"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":[0.000008350252,0.00006567303,0.0001285915,0.0000180885,0.000009186192,0.000001529811,0.00007332413,0.9921107,0.0002934898,0.007070147,0.00002566383,0.0001953161],"study_design_scores_gemma":[0.0002947934,0.0000576878,0.00111167,0.00001151113,0.000007729529,0.00000206063,0.00004346473,0.9962553,0.0007164673,0.001227333,0.0001025041,0.0001694864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.385975,0.00001250382,0.6072677,0.00008207918,0.0006873492,0.0001841394,0.000004820152,0.0002651323,0.005521298],"genre_scores_gemma":[0.990743,0.000001076401,0.009088456,0.00007703105,0.00005485295,0.000006657421,0.000007168652,0.00001709344,0.000004632858],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.604768,"threshold_uncertainty_score":0.5201013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04797016903288383,"score_gpt":0.2831146413192726,"score_spread":0.2351444722863887,"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."}}