The Establishment of High DC Shunt Calibration System at KRISS and Comparison With NRC
Bibliographic record
Abstract
The application of a binary step-up method has been investigated at the Korea Research Institute of Standards and Science (KRISS) for establishment of high dc standards based on the calibration system of high dc shunts up to a few thousand amperes in which the current dependence of the shunt resistance can be measured. A successive step-up method with a pair of high dc shunts was suggested to link the unknown high current to the values of low current level which are already known. The step-up approach was further modified with employing a current monitor to extract the information on the current dependence of the shunt and the source current changes during the step-up measurement. To validate the modified step-up technology, a comparison of high dc shunt resistance was carried out with National Research Council (NRC) in which both the KRISS and the NRC results agreed well within the standard deviation of the measurement on the order of about 0.01%.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".