{"id":"W2152187556","doi":"10.1007/s00500-006-0073-7","title":"Experimental Studies of a Generalized Neuron Based Adaptive Power System Stabilizer","year":2006,"lang":"en","type":"article","venue":"Soft Computing","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Control theory (sociology); Computer science; Controller (irrigation); Artificial neuron; Artificial neural network; Stabilizer (aeronautics); Electric power system; Power (physics); Biological neuron model; Range (aeronautics); Control engineering; Artificial intelligence; Engineering; Control (management)","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":[0.0002182647,0.0001587706,0.0003129442,0.00006017385,0.00006335771,0.0000143657,0.00008698541,0.00004072419,0.00002127131],"category_scores_gemma":[0.00001623222,0.0001538996,0.00008474605,0.0001551201,0.0000456271,0.00004229926,0.00003590358,0.00006002162,0.000004514675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001451576,"about_ca_system_score_gemma":0.00001532049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002738179,"about_ca_topic_score_gemma":0.000002280642,"domain_scores_codex":[0.9989248,0.0001013076,0.0004169681,0.0001860655,0.0001676188,0.0002032359],"domain_scores_gemma":[0.9994864,0.0001173436,0.00007434858,0.0001995368,0.00008856616,0.00003382335],"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":[0.00003208951,0.00009732953,0.001811625,0.0003257525,0.00007537287,0.000007476468,0.002321061,0.9838195,0.008789523,0.002173211,0.0004629782,0.00008409502],"study_design_scores_gemma":[0.000939646,0.00007045233,0.001306161,0.0001326655,0.00001279445,0.000003506277,0.004163516,0.979191,0.01374828,0.00000575324,0.0001825305,0.0002436659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7781378,0.002347257,0.212533,0.000005984489,0.0009157137,0.0002882481,0.00001001392,0.0005688195,0.005193166],"genre_scores_gemma":[0.9958898,2.323752e-7,0.004017233,0.000009636441,0.00002775777,0.000007689131,0.000003413777,0.00002599495,0.00001821243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.217752,"threshold_uncertainty_score":0.6275842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01975721068472173,"score_gpt":0.2453982281391382,"score_spread":0.2256410174544164,"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."}}