{"id":"W2171234070","doi":"10.1109/tim.2004.843420","title":"Calibration System for Electronic Instrument Transformers With Digital Output","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Advanced Electrical Measurement Techniques","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada","keywords":"Calibration; IEC 61850; Transformer; Electrical engineering; Current transformer; Electronic engineering; Measurement uncertainty; Engineering; Computer science; Physics; Voltage; Automation; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001350808,0.0002211489,0.0001560908,0.0001542203,0.0001519399,0.00007363644,0.00005099463,0.00006012408,0.000006001005],"category_scores_gemma":[0.000001151608,0.0002031994,0.00005343212,0.0001516233,0.00002588113,0.0005437497,2.003217e-7,0.0001400165,0.000003263395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001092587,"about_ca_system_score_gemma":0.00004540017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000363547,"about_ca_topic_score_gemma":0.00006377143,"domain_scores_codex":[0.9986982,0.00001211474,0.0002848951,0.000222747,0.0004597206,0.0003223187],"domain_scores_gemma":[0.9996781,0.00001235138,0.00003653107,0.00009380655,0.00007766909,0.00010148],"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":[0.000265539,0.0001260213,0.00001513741,0.0001715046,0.0001820324,2.467357e-7,0.0001900295,0.04101018,0.0158208,0.0004270019,0.0000658348,0.9417257],"study_design_scores_gemma":[0.003803252,0.001397117,0.00005528828,0.0001956256,0.000147791,0.00002120846,0.0005003042,0.0620364,0.9233713,0.00008173525,0.007792364,0.0005976477],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02628509,0.00005173481,0.9711322,0.0001760068,0.0001298294,0.001056403,0.00002735574,0.0006226809,0.0005187459],"genre_scores_gemma":[0.9970162,0.0000755416,0.00217045,0.00005951843,0.00003066091,0.0005697326,0.000009094874,0.0000410927,0.00002769849],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9707311,"threshold_uncertainty_score":0.8286231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01871099315538818,"score_gpt":0.2144932180770707,"score_spread":0.1957822249216825,"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."}}