{"id":"W2128883280","doi":"10.1109/pesgm.2014.6939336","title":"Unified distribution system state estimator using the concept of augmented matrices","year":2014,"lang":"en","type":"article","venue":"","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Estimator; Computer science; Transformer; Convergence (economics); State estimator; Smart grid; Grid; Power flow; Distribution grid; Electric power system; Algorithm; Mathematical optimization; State (computer science); Voltage; Power (physics); Mathematics; Engineering","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":[0.000192391,0.0001099418,0.0001420061,0.00002015872,0.00006122942,0.00003122141,0.0001319454,0.00003979173,0.00001643967],"category_scores_gemma":[0.00002295456,0.00008063852,0.00004003506,0.0001923956,0.00004471514,0.0001057746,0.0000247955,0.00006664112,0.00001418486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001453439,"about_ca_system_score_gemma":0.000009643594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006382992,"about_ca_topic_score_gemma":0.000001858652,"domain_scores_codex":[0.9992868,0.00003773939,0.0002504314,0.00009197302,0.0001586496,0.0001744439],"domain_scores_gemma":[0.9995854,0.00005273476,0.00005826259,0.0001944918,0.00006962107,0.00003951571],"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":[0.00004027399,0.00004452492,0.0007985898,0.0005377865,0.0001613974,0.000002831459,0.0002033466,0.8985464,0.03091216,0.06182865,0.004258526,0.002665544],"study_design_scores_gemma":[0.0002422988,0.00002502999,0.0008827309,0.00005192839,0.00003236676,0.000006134898,0.0001817044,0.9630325,0.03453634,0.00002345388,0.0008751398,0.0001103966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3737941,0.00006681705,0.624675,0.00001477301,0.0002197259,0.000137988,0.0001645895,0.0002642394,0.0006627528],"genre_scores_gemma":[0.9989748,0.000001880745,0.0008364125,0.000002939764,0.00002448508,0.000003736689,0.0001268031,0.00001300847,0.00001591156],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6251807,"threshold_uncertainty_score":0.3288344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007528491654054029,"score_gpt":0.2142898791967361,"score_spread":0.2067613875426821,"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."}}