{"id":"W4391373781","doi":"10.1016/j.ijepes.2024.109834","title":"A two-sample algorithm for three-phase voltage parameters estimation under abnormal grid conditions","year":2024,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"EduCanada; Ministerio de Ciencia, Tecnología e Innovación","keywords":"Algorithm; Grid; Sample (material); Voltage; Phase (matter); Three-phase; Estimation; Computer science; Mathematics; Electrical engineering; Engineering; Physics","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":[0.0002199561,0.0001639914,0.0002315732,0.0004155142,0.00004357056,0.0002816098,0.0002374185,0.000080277,0.00003475122],"category_scores_gemma":[0.00006333862,0.0001457212,0.0002133565,0.0002108753,0.00002029346,0.0004167889,0.00001068715,0.000177093,0.000005949904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002747253,"about_ca_system_score_gemma":0.00007334893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007816672,"about_ca_topic_score_gemma":0.000009981259,"domain_scores_codex":[0.998616,0.00002499227,0.0006191229,0.000133888,0.0003823825,0.0002235516],"domain_scores_gemma":[0.998917,0.0004163197,0.0001216609,0.00007587548,0.0003624825,0.000106612],"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":[0.00004221676,0.00007368923,0.000004312918,0.000009823462,0.0006677529,0.00005167106,0.00002904111,0.9130301,0.001343725,0.01418706,0.004838221,0.06572236],"study_design_scores_gemma":[0.001177608,0.0001938328,0.000008225786,0.00008259266,0.00006124048,0.0002809274,0.00001034958,0.9832071,0.0004347702,0.002178263,0.01221388,0.0001512008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001007828,0.004108177,0.9887138,0.0001258544,0.005537963,0.0001143206,0.0001839631,0.0001027169,0.0001053955],"genre_scores_gemma":[0.9908234,0.0001239628,0.007545971,0.00008484112,0.001105813,0.00004375239,0.0001772625,0.00004419912,0.0000507501],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9898156,"threshold_uncertainty_score":0.5942337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007851422232009214,"score_gpt":0.2623495613027235,"score_spread":0.2544981390707143,"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."}}