{"id":"W2321096661","doi":"10.7227/ijeee.46.1.2","title":"Studying the Effects of Distributed Generation on Voltage Regulation","year":2009,"lang":"en","type":"article","venue":"International Journal of Electrical Engineering Education","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Compensation (psychology); Voltage regulation; Distributed generation; Voltage drop; MATLAB; Voltage; Computer science; Work (physics); Power (physics); Electric power system; Electronic engineering; Control theory (sociology); Control engineering; Electrical engineering; Engineering; Control (management); Renewable energy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001716363,0.000112388,0.0001289978,0.0002188463,0.00002232654,0.00003926205,0.0002267678,0.00005685341,0.000005123338],"category_scores_gemma":[0.0005544482,0.0000926606,0.00008245934,0.0002734202,0.000007507645,0.0001964173,0.000005161065,0.0002264341,0.000002547102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003474411,"about_ca_system_score_gemma":0.00005699899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001396265,"about_ca_topic_score_gemma":1.329825e-7,"domain_scores_codex":[0.9989938,0.00001725777,0.00039598,0.00007167395,0.0004056536,0.0001156696],"domain_scores_gemma":[0.9991965,0.0001455366,0.0001445673,0.0000986158,0.0003688871,0.00004586742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005329231,0.0003794006,0.0001285155,0.00003373085,0.0001608938,0.000004257344,0.0001654092,0.3736494,0.5347449,0.007775303,0.007693054,0.07521196],"study_design_scores_gemma":[0.001186855,0.001326888,0.1175097,0.0004346239,0.0001238064,0.0001072344,0.00002362256,0.5974497,0.2761266,0.00101338,0.004290479,0.000407136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.732305,0.0005807978,0.2623959,0.0004139258,0.003942072,0.0001831922,0.000006216642,0.0000598863,0.0001129887],"genre_scores_gemma":[0.998675,0.00005550657,0.0004029946,0.00004302316,0.0007553861,0.000003992817,0.00004324999,0.0000110331,0.000009838947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.26637,"threshold_uncertainty_score":0.377859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004853364184617318,"score_gpt":0.2309810329853401,"score_spread":0.2261276688007228,"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."}}