{"id":"W3097657664","doi":"10.18280/ejee.224-504","title":"Characterization of Switching Transients in Low Voltage Power Systems of Tea Factories in Sri Lanka","year":2020,"lang":"en","type":"article","venue":"European Journal of Electrical Engineering","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Colombo","keywords":"Transient (computer programming); Amplitude; Voltage; Waveform; Electrical engineering; Physics; Rise time; Induction motor; Sri lanka; Engineering; Optics; Environmental science; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003470476,0.0001220422,0.0003561957,0.0002350686,0.000005249632,0.00001339507,0.0001725357,0.00003240163,0.000004219018],"category_scores_gemma":[0.0001132394,0.000123222,0.00005830136,0.0004816804,0.000005183595,0.0001837213,0.00001062379,0.000438602,0.000001272172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004983148,"about_ca_system_score_gemma":0.00001568606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002140719,"about_ca_topic_score_gemma":2.772326e-7,"domain_scores_codex":[0.9986854,0.00006061,0.0007979322,0.0000722874,0.0001965261,0.0001872786],"domain_scores_gemma":[0.9996318,0.00005048968,0.0001299003,0.00006193469,0.00004029866,0.00008555028],"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":[0.00003732839,0.00003640865,0.0007613724,0.0003060926,0.00003690783,0.00008358634,0.005488979,0.1763404,0.8164949,0.00009938458,0.000002178406,0.0003124432],"study_design_scores_gemma":[0.003885134,0.001075237,0.1144732,0.002329127,0.00005955673,0.00005952132,0.0003860538,0.7431703,0.1318163,0.000005018362,0.001918712,0.0008218676],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9036266,0.0003626314,0.09560803,0.00001603539,0.0001865119,0.00005636588,0.000005121217,0.00002296516,0.0001157028],"genre_scores_gemma":[0.9997416,0.00008854367,0.00008854675,0.000008733562,0.00004293647,2.525768e-7,0.000001683046,0.00002686291,8.60791e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6846787,"threshold_uncertainty_score":0.5024847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01150954228568204,"score_gpt":0.1850792545968607,"score_spread":0.1735697123111786,"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."}}