{"id":"W4380480934","doi":"10.1007/978-3-031-24837-5_29","title":"MANA-Based Load-Flow Solution for Bipolar DC Microgrids","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in electrical engineering","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hydro-Québec; Polytechnique Montréal","funders":"","keywords":"Voltage droop; Flow (mathematics); Control theory (sociology); Voltage; Line (geometry); Simple (philosophy); Computer science; Topology (electrical circuits); Mathematics; Electronic engineering; Engineering; Electrical engineering; Mechanics; Voltage source; Physics; Geometry","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":[0.000213226,0.0006751283,0.0006047342,0.0003010681,0.0004606557,0.0008760802,0.0008333176,0.0006391838,0.01004065],"category_scores_gemma":[0.0004546461,0.0003117803,0.0004552899,0.0004528012,0.0002575594,0.00044066,0.0006873948,0.0006487636,0.000991299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005341636,"about_ca_system_score_gemma":0.0006203029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005244789,"about_ca_topic_score_gemma":0.008402709,"domain_scores_codex":[0.999927,0.00002522955,0.000002737273,0.0000120376,0.0000204047,0.0000126146],"domain_scores_gemma":[0.9999228,0.00002926187,0.000006980714,0.000006571171,0.00002725182,0.000007052507],"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":[0.0000556352,0.00003253437,0.0001188542,0.00006616989,0.00002281111,0.00004572474,0.00003122811,0.9376484,0.002395854,0.01168876,0.003215104,0.04467896],"study_design_scores_gemma":[0.000004497337,0.00001103532,0.00002545413,0.000004235366,0.000002996232,0.000006330448,0.000007691077,0.9963675,0.0001840992,0.002447202,0.0009369699,0.000001935491],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01936844,0.0005262765,0.9293206,0.0003006874,0.0001661053,0.00009441334,0.0001922116,0.0007446196,0.04928672],"genre_scores_gemma":[0.7697178,0.0005116064,0.1976749,0.0001693147,0.00010567,0.0002402764,0.0002244789,0.0002239779,0.03113195],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01004065,"threshold_uncertainty_score":0.0335893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006074808992858835,"score_gpt":0.1799014506864799,"score_spread":0.1738266416936211,"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."}}