{"id":"W2109579231","doi":"10.1109/afrcon.2009.5308124","title":"Design and implementation of power system stabilizers based on evolutionary algorithms","year":2009,"lang":"en","type":"article","venue":"","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; University of Cape Town; University of Calgary","keywords":"Evolutionary algorithm; Electric power system; Computer science; Genetic algorithm; Power (physics); Population; Evolutionary computation; Algorithm design; Control engineering; Control theory (sociology); Algorithm; Engineering; Control (management); Machine learning; Artificial intelligence","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":[0.0001937946,0.00008039785,0.000111858,0.00006514343,0.00002313969,0.000008239314,0.00003453153,0.00003299427,0.0001211082],"category_scores_gemma":[0.000004230125,0.00007328937,0.00002121624,0.00009852417,0.0000105175,0.00006671966,0.000002409823,0.00002736035,0.000002729746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009252621,"about_ca_system_score_gemma":0.00001772814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005400413,"about_ca_topic_score_gemma":7.050123e-7,"domain_scores_codex":[0.9994125,0.00004822575,0.0002115886,0.0001036445,0.0001270293,0.00009701923],"domain_scores_gemma":[0.9997168,0.0000460235,0.0000224487,0.0001295834,0.00004129219,0.00004386039],"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":[0.00006093315,0.00009090777,0.002180472,0.000265773,0.00003257142,0.000002493665,0.0008134297,0.9817568,0.002003507,0.006611827,0.001820749,0.004360525],"study_design_scores_gemma":[0.0004929341,0.0001602306,0.01089882,0.00001878049,0.000005296446,0.000001432922,0.000738395,0.9851769,0.002287508,0.00001326431,0.0001079315,0.00009854141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008362995,0.00005152679,0.9843728,0.00004834153,0.0001125091,0.000360716,0.000008181759,0.0002187152,0.006464219],"genre_scores_gemma":[0.976217,0.00000174279,0.02372677,0.00002418837,0.000002359636,0.0000073111,0.000005705917,0.000006137458,0.000008811663],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.967854,"threshold_uncertainty_score":0.2988654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00888104834397245,"score_gpt":0.2328998062145561,"score_spread":0.2240187578705837,"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."}}