{"id":"W4414059416","doi":"10.1049/gtd2.70149","title":"An Optimization‐Based Line‐Wise Approach for Accurate Radial Distribution System State Estimation","year":2025,"lang":"en","type":"article","venue":"IET Generation Transmission & Distribution","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Estimator; Quadratic equation; State (computer science); Transformation (genetics); Conic section; Phase angle (astronomy); AC power; Electric power system; Least-squares function approximation; Line (geometry)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000772058,0.0006664723,0.0006487614,0.0005314709,0.000196068,0.0005960944,0.0004643326,0.0003893805,0.001967302],"category_scores_gemma":[0.001929127,0.0003838238,0.0003689187,0.0005321545,0.0002488906,0.0007764931,0.0005480787,0.0008060925,0.0006516973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003470157,"about_ca_system_score_gemma":0.0007080825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003285702,"about_ca_topic_score_gemma":0.002897132,"domain_scores_codex":[0.9995746,0.0001754873,0.00002246443,0.00008066965,0.0001190566,0.00002771459],"domain_scores_gemma":[0.9992948,0.0003130165,0.0001061259,0.00006295834,0.0002065409,0.00001656595],"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":[0.00004068299,0.00002356227,0.0004932712,0.00004148797,0.00002301945,0.00002255287,0.0000285611,0.9020815,0.004557249,0.004598676,0.0007783629,0.08731091],"study_design_scores_gemma":[0.000001004434,0.000007185147,0.00004902259,0.000001474091,0.000001157594,0.00000338944,0.000001384983,0.9989115,0.0004380438,0.0003860527,0.00019802,0.000001775779],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002590547,0.00002569615,0.99675,0.0000205343,0.000004324315,0.000008728677,0.00001439591,0.0002134252,0.000372333],"genre_scores_gemma":[0.4630081,0.0001359645,0.5335732,0.00008036769,0.00003652566,0.0001295463,0.0002553556,0.0001722356,0.002608641],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003285702,"threshold_uncertainty_score":0.006581306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01318238847232664,"score_gpt":0.2509418318239759,"score_spread":0.2377594433516493,"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."}}