Evidence map›Paper›PMID 37405081›Full record

ArticleJournal of research of the National Institute of Standards and Technology

Sources of Uncertainty in a DVM-Based Measurement System for a Quantized Hall Resistance Standard.

Kevin C Lee, Marvin E Cage, Patrick S Rowe

Open access · bronzeAbstract read
In one paragraph

Article in Journal of research of the National Institute of Standards and Technology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 72% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 21 citations in OpenAlex.

  1. Degradation of GaAs/AlGaAs Quantized Hall Resistors With Alloyed AuGe/Ni Contacts.Journal of research of the National Institute of Standards and Technology
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Kevin C LeeNational Institute of Standards and Technology, Gaithersburg, MD 20899-0001.
Marvin E CageNational Institute of Standards and Technology, Gaithersburg, MD 20899-0001.
Patrick S RoweNational Institute of Standards and Technology, Gaithersburg, MD 20899-0001.
National Institute of Standards and Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transportable 10 kΩ standard resistors have become fairly widespread in industrial, university, and government standards laboratories because of their low temperature coefficient of resistance, case of transportation, and convenient value. The values of these resistors, however, tend to drift with time, requiring periodic recalibration against an invariant standard such as the quantized Hall resistance. The availability of a simple, inexpensive measurement system for calibrating 10 kΩ resistors against such an invariant standard would be of great benefit to primary standards laboratories. This paper describes a simple automated measurement system that uses a single, high accuracy, commercially available digital voltmeter (DVM) to compare the voltages developed across a 10 kΩ standard resistor and a quantized Hall resistor when the same current is passed through the two devices. From these measurements, the value of the 10 kΩ standard resistor is determined. The sources of uncertainty in this system are analyzed in detail and it is shown that it is possible to perform calibrations with relative combined standard uncertainties less than 1×10

Indexed as

digital voltmeterDVM methodelectrical metrologyelectrical reference standardsquantized Hall resistancequantum Hall effectresistance calibration

Identifiers

PMID37405081
PMCPMC8345275
OpenAlexW2323837002

What OpenQuestion holds

Textmetadata
LicenceCC0
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.