{"id":"W2700142855","doi":"10.1109/ccece.2017.7946634","title":"Design of a neural network based power system stabilizer in reduced order power system","year":2017,"lang":"en","type":"article","venue":"","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Electric power system; Control theory (sociology); Artificial neural network; Transformer; Stabilizer (aeronautics); Switched-mode power supply; Computer science; AC power; Power (physics); Reduction (mathematics); Control engineering; Engineering; Voltage; Mathematics; Control (management); Electrical engineering; Artificial intelligence","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":[0.0009137798,0.000255459,0.0005345989,0.00009429873,0.0001104656,0.00009669869,0.0003982142,0.0001608655,0.0002156696],"category_scores_gemma":[0.00009262131,0.0002245999,0.00008308759,0.0002135257,0.00005153305,0.0002164399,0.00004573883,0.0001398677,0.00002222007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002448127,"about_ca_system_score_gemma":0.00006611556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005873567,"about_ca_topic_score_gemma":0.00002848931,"domain_scores_codex":[0.9980938,0.0002214857,0.0007104547,0.0002993907,0.0002586485,0.0004162063],"domain_scores_gemma":[0.9982885,0.0001161306,0.0001523139,0.00114918,0.0001773511,0.0001165924],"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":[0.00006786785,0.00003427903,0.004089065,0.0005176149,0.00002985512,0.00001216274,0.000284963,0.9929685,0.0005423909,0.000873488,0.0005619559,0.00001786594],"study_design_scores_gemma":[0.0009781441,0.00004765468,0.004956539,0.0002877802,0.00001116888,0.000006447492,0.0006503912,0.9922009,0.0004631329,0.000001617066,0.0001097929,0.0002864817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1682703,0.0002597583,0.7440842,0.00008766919,0.003619553,0.002023987,0.00002184473,0.001168254,0.08046442],"genre_scores_gemma":[0.9950306,6.472831e-7,0.004744514,0.00001183205,0.0000156249,0.00005218292,0.00000268062,0.00004755388,0.0000943524],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8267602,"threshold_uncertainty_score":0.9158919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01755575749924241,"score_gpt":0.2236308669543436,"score_spread":0.2060751094551012,"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."}}