{"id":"W1953252938","doi":"10.1109/pes.2005.1489104","title":"Effect of distributed generator on the allocation of D-STATCOM in distribution network","year":2005,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2005","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Generator (circuit theory); Voltage; Distributed generation; Computer science; Distributed power generation; Distribution (mathematics); AC power; Power (physics); Control theory (sociology); Mathematical optimization; Electronic engineering; Electrical engineering; Topology (electrical circuits); Engineering; Mathematics; Control (management); Physics; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00116387,0.0003453369,0.0003919504,0.00003357994,0.00004922154,0.00002088139,0.0002523366,0.0002008934,0.00002376553],"category_scores_gemma":[0.0001189093,0.000300851,0.0002586367,0.0004808436,0.00005139758,0.0001176294,0.00002698303,0.0003522197,0.00001092977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004209813,"about_ca_system_score_gemma":0.00002142977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000014999,"about_ca_topic_score_gemma":0.000007988882,"domain_scores_codex":[0.9981463,0.0000890645,0.0006145919,0.0002436947,0.0003332875,0.0005730507],"domain_scores_gemma":[0.9991152,0.000243985,0.000126364,0.0003603711,0.00007058733,0.00008353677],"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":[0.00002017331,0.00003510229,0.0004145205,0.00008586323,0.00006717121,4.345893e-7,0.00009507537,0.9297351,0.04923759,0.0003088157,0.0197299,0.0002702618],"study_design_scores_gemma":[0.0005651712,0.000155916,0.001780908,0.0001713588,0.00003576963,0.000001579651,0.00001027808,0.7114913,0.2784501,0.000003594439,0.007024579,0.0003093976],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9516231,0.0006154219,0.04596018,0.0001600642,0.0006570115,0.000387869,0.0003101604,0.0002034294,0.00008272684],"genre_scores_gemma":[0.9975722,0.00009240739,0.001513073,0.00002659118,0.0003623047,0.00005595776,0.000310147,0.00005429756,0.00001306278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2292125,"threshold_uncertainty_score":0.9999444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003602837230474404,"score_gpt":0.2032054888975133,"score_spread":0.1996026516670389,"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."}}