{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000104745,0.0003482177,0.0005279272,0.0002864498,0.0000841139,0.0001252857,0.0002302834,0.00040858,0.00005618776],"category_scores_gemma":[0.00004692164,0.0003883305,0.0002595512,0.0006533419,0.00002785444,0.0002058152,0.0002966968,0.0002931786,0.000005658234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000175323,"about_ca_system_score_gemma":0.00004979607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001082939,"about_ca_topic_score_gemma":0.000002103478,"domain_scores_codex":[0.9986915,0.00003203981,0.0003844275,0.0004833837,0.0001185959,0.000290067],"domain_scores_gemma":[0.9991357,0.00008235517,0.00009812228,0.000499614,0.0000826158,0.0001015312],"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":[0.00002513111,0.00002602585,0.06093362,0.001157713,0.001307259,0.000003991126,0.00004031604,0.9320211,0.00001904769,0.0002255725,0.004147205,0.0000930216],"study_design_scores_gemma":[0.0003581725,0.00002593825,0.05734078,0.0002988389,0.001532152,0.000001163516,0.00006722475,0.9374568,0.0004999329,0.00001970161,0.001876699,0.0005226218],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2322185,0.0006777954,0.7556011,0.000104877,0.0007639055,0.000714446,0.007871635,0.001019992,0.001027773],"genre_scores_gemma":[0.9754897,0.00009583437,0.007046975,0.00001541374,0.00007570707,0.0001949913,0.01691195,0.00004125923,0.000128114],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7485542,"threshold_uncertainty_score":0.9998569,"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."}}