{"id":"W3106786046","doi":"10.23977/jeeem.2020.030103","title":"Voltage optimization and benefit evaluation based on transformation of distribution transformer","year":2020,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Voltage regulation; Distribution transformer; Transformer; Voltage; Electrical engineering; Voltage droop; Engineering; Power grid; Voltage optimisation; Computer science; Reliability engineering; Voltage divider; Power (physics); Physics","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":[0.0006920538,0.0004591914,0.000351425,0.0005803088,0.0001606326,0.0006658669,0.0002647821,0.0002385235,0.001660343],"category_scores_gemma":[0.001517642,0.0001201861,0.0003672841,0.0006854401,0.000254769,0.0007653477,0.0003627327,0.000241927,0.00009208052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006795436,"about_ca_system_score_gemma":0.0004262956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001903627,"about_ca_topic_score_gemma":0.001676099,"domain_scores_codex":[0.9995444,0.0001785716,0.00001271857,0.00003961409,0.0001553893,0.00006926322],"domain_scores_gemma":[0.9997262,0.0001253631,0.00002420505,0.00002556653,0.00008543391,0.00001321697],"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":[0.0003056438,0.00008012826,0.003149386,0.00008355072,0.00003682233,0.0001543843,0.00005399411,0.9156532,0.009204127,0.009710756,0.0004573146,0.06111083],"study_design_scores_gemma":[0.00001219073,0.0001776662,0.001909748,0.000004781676,0.00003017925,0.00004181539,0.00005874614,0.9899682,0.003526065,0.003612355,0.0006506187,0.000007652707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6688485,0.0005470945,0.3018445,0.000163171,0.00003031567,0.0001512607,0.000166254,0.0002108344,0.02803806],"genre_scores_gemma":[0.9943387,0.00009108808,0.004763959,0.000005166336,0.000002422048,0.00001260022,0.00004310854,0.00001502,0.0007280108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001903627,"threshold_uncertainty_score":0.005554438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00539701102567395,"score_gpt":0.1896481328179931,"score_spread":0.1842511217923192,"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."}}