GPS Results for the Radio Aurora Explorer II CubeSat Mission
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper presents the performance of the Global Positioning System (GPS) subsystem for the Radio Aurora eXplorer II (RAX-2) CubeSat mission. The GPS subsystem is required to satisfy the science mission objectives to study space weather. In particular, the GPS subsystem must provide accurate spatial and temporal data. To verify the mission requirements and assess GPS subsystem performace in on-orbit conditions, we assess the carrier-to-noise ratio and position accuracy. Additionally, we study the accuracy of the current method of orbit tracking by comparing the orbital elements from Two Line Element sets to the RAX-2 GPS data. The results presented confirm functionality of the GPS subsystem and provide useful information for future small satellite teams considering flying a GPS.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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