Short-term Tests of Potassium dIdD Vector Magnetometer
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Bibliographic record
Abstract
In this paper the results of short-term tests of a suspended Potassium dIdD vector magnetometer are presented. The instrument was installed on a stable pillar during May 2012 near Milton (Ontario, Canada). The aim was to investigate primarily the bias current stability and the noise level of the instrument (for measured components less than 10 pT in a root-mean-square sense). A brief description of the measurement principles and a review of formulae used for field component calculations are given. The errors of components, which arise from assumptions on dIdD orientation as well as from the total field time variations during a measurement cycle, are estimated and discussed, both for real and simulated data. Finally, the accuracy of the instrument was estimated, and the maximal theoretical accuracies of components were better than 60 pT at mid-latitudes.
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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 it