{"id":"W3138566479","doi":"10.18280/jesa.540118","title":"Distributed Generation Effect on Distribution System","year":2021,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"MATLAB; Distributed generation; Voltage; Computer science; Turbine; Power (physics); AC power; Electric power system; Reduction (mathematics); Control theory (sociology); Engineering; Mathematics; Electrical engineering; Control (management)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.000193038,0.0003575137,0.0001934237,0.0002285176,0.0001634502,0.0006402175,0.0001888749,0.0002538893,0.004124211],"category_scores_gemma":[0.0008705258,0.00008827404,0.0002154375,0.0003523501,0.0002452046,0.0006095321,0.0002903299,0.0003221299,0.0003638816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000367458,"about_ca_system_score_gemma":0.0001814686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008782737,"about_ca_topic_score_gemma":0.0008675308,"domain_scores_codex":[0.9998127,0.00005494982,0.000005742466,0.00004368757,0.00006736079,0.00001565995],"domain_scores_gemma":[0.9996668,0.0001785618,0.00003227633,0.00004131155,0.00007184628,0.000009183571],"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":[0.0002651215,0.00007614701,0.005770108,0.0002087567,0.00008126907,0.0003624434,0.0001040538,0.8298761,0.03080316,0.02728721,0.002110193,0.1030555],"study_design_scores_gemma":[0.00005732972,0.0004025071,0.008631997,0.00003925777,0.0001404645,0.0004282664,0.00009184403,0.9315933,0.02506229,0.02022045,0.0133084,0.00002391717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3327373,0.001421369,0.5699091,0.0007861689,0.0003807085,0.00008036009,0.0003953984,0.0009871586,0.09330259],"genre_scores_gemma":[0.9845676,0.0003212946,0.009381603,0.00005959,0.00003685353,0.00001332864,0.00006835454,0.00003665961,0.005514581],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004124211,"threshold_uncertainty_score":0.01379693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01150597973950004,"score_gpt":0.2260562923201333,"score_spread":0.2145503125806333,"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."}}