{"id":"W3214123636","doi":"10.1109/iecon48115.2021.9589607","title":"Online Estimation of Electromechanical Oscillations from Phasor Measurements","year":2021,"lang":"en","type":"article","venue":"","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Phasor; A priori and a posteriori; Convergence (economics); Control theory (sociology); Computer science; Estimation theory; Adaptive algorithm; Electric power system; Adaptive system; Power (physics); Algorithm; Physics; 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":[0.00005913882,0.0000507866,0.0001038452,0.00002015936,0.00001413431,0.000008231286,0.00003576504,0.00003465206,0.0007842215],"category_scores_gemma":[0.00007957416,0.00005120852,0.00003053099,0.0001481071,0.000004358372,0.00005733642,0.000007394611,0.000033862,0.000009770175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003734639,"about_ca_system_score_gemma":0.00002302544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001015735,"about_ca_topic_score_gemma":0.00007903767,"domain_scores_codex":[0.9994886,0.00002341153,0.0002038662,0.00008267721,0.0001330251,0.00006840079],"domain_scores_gemma":[0.9996926,0.00002726055,0.00001557276,0.000146245,0.00008618458,0.00003217368],"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":[0.000009003968,0.0004779033,0.002103183,0.00008527425,0.0002014941,0.000001520864,0.0002923487,0.8090485,0.1779964,0.001993597,0.00121583,0.00657487],"study_design_scores_gemma":[0.0002689712,0.000008416318,0.002343139,0.00001099181,0.00001220664,8.151696e-7,0.0000268245,0.93774,0.05896853,0.000299846,0.0002477084,0.00007250581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1111222,0.00009282399,0.8833562,0.00005960023,0.0001773853,0.00006179109,0.00004677428,0.0001419773,0.004941356],"genre_scores_gemma":[0.9669201,0.000005412887,0.03284499,0.00001402548,0.000007276596,0.000002182714,0.00012871,0.000006573303,0.00007076016],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8557979,"threshold_uncertainty_score":0.8586676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03220179653904144,"score_gpt":0.255271391295796,"score_spread":0.2230695947567545,"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."}}