CASSIOPE - Swarm Echo as a Fourth Element of the Swarm Constellation: Scientific Synergies and the Next Chapter
Bibliographic record
Abstract
The Enhanced Polar Outflow Probe (e-POP) was launched as part of the Canadian CASSIOPE small satellite into an elliptic polar orbit in September 2013. It then joined the ESA Swarm mision under ESA's Third Party Mission Programme in 2018, as a Fourth Element of the Swarm constellation of satellites, to take advantage of the highly complementary and synergistic instrumentation and orbital coverage between CASSIOPE/e-POP and the three Swarm satellites. This scientific synergy has made possible a new, high-resolution multipoint data set of magnetic field, GPS, and related optical, radio wave, and plasma composition observations, as an addition to the Swarm mission data system and the basis for a number of new scientific investigations. We will review examples of 'scientific success stories' from such investigations. We will also present examples of new investigations in the next chapter of Swarm Echo: these investigations were not planned previously but have become feasible after the recent partial failure of the spacecraft attitude control system, which necessitated a change to a new spacecraft attitude configuration that will serendipitously provide the necessary observing geometry for such innovative investigations
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.004 |
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 source (direct Gemma or distilled Codex), 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".