{"id":"W2917794430","doi":"10.1109/tsipn.2019.2901171","title":"Decentralized Topology Reconfiguration in Multiphase Distribution Networks","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Signal and Information Processing over Networks","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control reconfiguration; Topology (electrical circuits); Distributed computing; Computer science; Network topology; Distribution (mathematics); Computer network; Mathematics; Embedded system","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000475531,0.0002738083,0.0004433235,0.0003358079,0.0004068088,0.0005873422,0.000532974,0.0004083346,0.0006560427],"category_scores_gemma":[0.001653346,0.0002200408,0.0001946781,0.0003714835,0.0005420235,0.0006719323,0.0005225786,0.0003575392,0.0001151347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006503466,"about_ca_system_score_gemma":0.0004302541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0014509,"about_ca_topic_score_gemma":0.00163111,"domain_scores_codex":[0.9996676,0.0001564819,0.00001102282,0.00006410954,0.00005977308,0.0000409953],"domain_scores_gemma":[0.9994044,0.0002910948,0.0001151086,0.00007875229,0.00006084826,0.00004980795],"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":[0.00003577802,0.00001459703,0.0003348067,0.00001906208,0.000007469531,0.00005571316,0.00003654779,0.9682149,0.002145515,0.008845929,0.0003023079,0.01998747],"study_design_scores_gemma":[0.000006155074,0.0000130419,0.00008831864,0.000001181428,0.000001124977,0.00001957245,0.000008712256,0.995262,0.0002768313,0.004022015,0.0002991077,0.00000172753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09282862,0.0002625011,0.901406,0.0002434144,0.00003774859,0.00007061828,0.00004235256,0.000308168,0.004800553],"genre_scores_gemma":[0.964901,0.00009430892,0.03367584,0.00002668371,0.00001219102,0.00005183522,0.00003181037,0.00001647376,0.001189771],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0014509,"threshold_uncertainty_score":0.004718602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004232839715764947,"score_gpt":0.2011898318876006,"score_spread":0.1969569921718357,"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."}}