{"id":"W2908183956","doi":"10.3166/ejee.20.309-324","title":"Distribution transformer monitoring and reactive power compensation","year":2018,"lang":"en","type":"article","venue":"European Journal of Electrical Engineering","topic":"Smart Grid and Power Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Distribution transformer; AC power; Transformer; Environmental science; Compensation (psychology); Electrical engineering; Engineering; Voltage","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":[0.0001978127,0.0003662149,0.0002834339,0.0006629091,0.000122099,0.0004667969,0.0002803235,0.0003459103,0.001819575],"category_scores_gemma":[0.001052197,0.000143649,0.000120459,0.0005359172,0.0001058673,0.0005623783,0.000126656,0.0002805754,0.0004275501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002617679,"about_ca_system_score_gemma":0.000203972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001247117,"about_ca_topic_score_gemma":0.002247671,"domain_scores_codex":[0.9997213,0.00006604024,0.00001686907,0.00006910985,0.0001068151,0.00001978724],"domain_scores_gemma":[0.9995242,0.0001824155,0.00009438661,0.00004888688,0.0001306311,0.00001949469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003468354,0.0003164937,0.04185514,0.0003276156,0.0001097457,0.0006502615,0.0002010045,0.07693339,0.1696743,0.00337256,0.00484488,0.6982462],"study_design_scores_gemma":[0.0001999445,0.000618336,0.09265833,0.00005436349,0.0002334331,0.002117856,0.0001382522,0.7484604,0.1415089,0.00511304,0.008849364,0.00004768318],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4205928,0.000693269,0.5478107,0.0004604112,0.0001592895,0.00008979959,0.001018554,0.003698815,0.0254764],"genre_scores_gemma":[0.9886348,0.00007675184,0.008950436,0.00002386036,0.00002399383,0.000005756838,0.0001682401,0.00004310104,0.002073003],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001819575,"threshold_uncertainty_score":0.006087124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006549977936623541,"score_gpt":0.1893900903132829,"score_spread":0.1828401123766594,"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."}}