{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001951227,0.0007851592,0.0007334421,0.001950993,0.0009292114,0.001163028,0.001710663,0.001057026,0.01220928],"category_scores_gemma":[0.005014175,0.0004152849,0.0002740392,0.001569022,0.0006293158,0.001283699,0.001371229,0.0013609,0.005708462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008923414,"about_ca_system_score_gemma":0.001008608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006162311,"about_ca_topic_score_gemma":0.0004692849,"domain_scores_codex":[0.9964353,0.0005739045,0.0001860539,0.0004688776,0.00219878,0.0001370547],"domain_scores_gemma":[0.9969779,0.0005009552,0.0002217288,0.0005562604,0.001621803,0.000121312],"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":[0.0006991688,0.0001909629,0.007161552,0.0007249844,0.00006792775,0.0002813984,0.0003537162,0.004187805,0.4024423,0.02028558,0.02845629,0.5351482],"study_design_scores_gemma":[0.0004146979,0.001232787,0.007663627,0.00019002,0.0001835087,0.004550412,0.0001551162,0.05736499,0.6322279,0.005800558,0.2900295,0.0001869782],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01391141,0.00073391,0.9593729,0.0004075101,0.000437453,0.0004619522,0.000569451,0.01507938,0.009026042],"genre_scores_gemma":[0.3774174,0.000652965,0.6028131,0.00116354,0.000315377,0.0007846853,0.001689331,0.000811653,0.0143519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01220928,"threshold_uncertainty_score":0.04084408,"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."}}