{"id":"W4417156276","doi":"10.48550/arxiv.2506.20819","title":"A Benchmark Library for Distributed Power System Analysis and Optimization","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Electrical, Communications and Cyber Systems; National Science Foundation","keywords":"Benchmark (surveying); Solver; Electric power system; MATLAB; Distributed database; Power (physics); Distributed generation; Test case","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001569114,0.002178968,0.001062817,0.002061507,0.0004773838,0.001309977,0.00265446,0.0009204245,0.03114447],"category_scores_gemma":[0.005717942,0.0005222084,0.001146952,0.004052126,0.0003898808,0.001120493,0.001141131,0.001827077,0.009093459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008238798,"about_ca_system_score_gemma":0.002228067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006637773,"about_ca_topic_score_gemma":0.008601321,"domain_scores_codex":[0.9988576,0.0003055428,0.000122926,0.0001316557,0.0004731058,0.0001092565],"domain_scores_gemma":[0.9977539,0.001131157,0.0001198243,0.0003768947,0.0005394634,0.00007875422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001914862,0.0002386339,0.001805617,0.002190464,0.0002432905,0.000238408,0.0000566465,0.357114,0.002300887,0.03472682,0.4787537,0.12214],"study_design_scores_gemma":[0.0003399708,0.0001215405,0.001262967,0.0002963339,0.00007362671,0.0002085115,0.00005248903,0.702087,0.005421604,0.04761441,0.2424686,0.00005313202],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01830856,0.004108473,0.6227994,0.001514774,0.0008451765,0.0009418573,0.1508404,0.09132466,0.1093168],"genre_scores_gemma":[0.1177746,0.002925903,0.5680629,0.0009224233,0.0002154151,0.003226565,0.2568633,0.02314716,0.02686167],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.03114447,"threshold_uncertainty_score":0.1041886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008951550903906052,"score_gpt":0.213914541647391,"score_spread":0.204962990743485,"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."}}