{"id":"W2089693878","doi":"10.1109/pesgm.2014.6938924","title":"Multiphase load-flow solution for large-scale distribution systems using MANA","year":2014,"lang":"en","type":"article","venue":"","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Grid; Flow (mathematics); Computer science; Scale (ratio); Network topology; Node (physics); Topology (electrical circuits); Control theory (sociology); Engineering; Control (management); Mathematics; Electrical engineering; Structural 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003921133,0.0005746692,0.000410056,0.0003058859,0.0005107426,0.0005494983,0.0004530471,0.0005508001,0.008531156],"category_scores_gemma":[0.0009258135,0.0003151697,0.0002999919,0.0004323355,0.0002996335,0.0005880466,0.0004584923,0.0006111442,0.000774199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005028548,"about_ca_system_score_gemma":0.0007369491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005020874,"about_ca_topic_score_gemma":0.008659367,"domain_scores_codex":[0.999902,0.00004548214,0.00000341297,0.00001172462,0.00002956217,0.000007722844],"domain_scores_gemma":[0.9997404,0.000175405,0.00001983317,0.00001336853,0.00004064115,0.00001032812],"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":[0.00002262425,0.00001992346,0.0001909374,0.00004291225,0.000007331828,0.00004273835,0.00003203477,0.9589024,0.001214754,0.007870766,0.001072409,0.03058105],"study_design_scores_gemma":[0.000003362284,0.000005959401,0.00002309565,0.000001926658,8.579847e-7,0.000003366789,0.000004501765,0.997885,0.0001429528,0.001320802,0.0006067663,0.000001252577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009648445,0.00007561319,0.9847479,0.0001083926,0.00002273344,0.00005252879,0.00005462901,0.0002547634,0.005035008],"genre_scores_gemma":[0.4450259,0.000284058,0.5403836,0.00005516905,0.0000549459,0.0003549482,0.0002111221,0.0002190504,0.01341122],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008531156,"threshold_uncertainty_score":0.02853954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01189614106492618,"score_gpt":0.2327066731592571,"score_spread":0.2208105320943309,"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."}}