{"id":"W1632025792","doi":"10.1109/pesgm.2015.7286398","title":"State estimator for electrical distribution systems based on a particle filter","year":2015,"lang":"en","type":"article","venue":"","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Extended Kalman filter; Estimator; Particle filter; Kalman filter; Invariant extended Kalman filter; Gaussian; Control theory (sociology); Node (physics); Computer science; State (computer science); Filter (signal processing); Algorithm; Engineering; Mathematics; Statistics; Physics; 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":[0.0002121784,0.00007457165,0.0001036442,0.00001292612,0.00002268859,0.00004263866,0.00004241186,0.0000306296,0.00001414733],"category_scores_gemma":[0.0001021074,0.00006216812,0.00002880028,0.00009954564,0.00000625514,0.00005331847,0.000002907401,0.0000317347,0.00003776314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001317515,"about_ca_system_score_gemma":0.00002327963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006058151,"about_ca_topic_score_gemma":0.000001995932,"domain_scores_codex":[0.9994285,0.00002529643,0.0001632675,0.00009928962,0.0001114929,0.0001721865],"domain_scores_gemma":[0.9995852,0.00006154978,0.00001190335,0.0001412339,0.00006917692,0.0001309739],"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":[0.00005110461,0.00004656462,0.0009222282,0.00004615104,0.000007598514,6.704055e-7,0.00003186944,0.9780909,0.00004780304,0.001747201,0.018833,0.0001749458],"study_design_scores_gemma":[0.0005110193,0.000071715,0.0001809643,0.000005883846,0.000003188535,6.066576e-7,0.00000927349,0.9914117,0.0009200823,0.00002109194,0.006782196,0.00008231989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01057228,0.00002285438,0.9870741,0.00006200312,0.0002724154,0.000327951,0.00007827344,0.0003395713,0.001250553],"genre_scores_gemma":[0.9985393,2.163919e-7,0.001081417,0.0000243003,0.00001146341,0.000093887,0.00005328023,0.00001108145,0.0001850695],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.987967,"threshold_uncertainty_score":0.2535143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0231753723025761,"score_gpt":0.2375728620633983,"score_spread":0.2143974897608222,"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."}}