An assessment of the role of soft electron precipitation in global ion upwelling
Bibliographic record
Abstract
Abstract The role of electron precipitation in the auroral zone in driving thermal O + upwelling is explored by comparison of observations and model results. Previous reports have shown how the ambiguities of such an assessment can be reduced when the problem is addressed in dynamic boundary‐related coordinates. Upwelling ion data from the Defense Meteorological Satellite Program (DMSP) satellites are compared using a modeling framework based on the Field Line Interhemispheric Plasma (FLIP) ionospheric model. We focus on geomagnetically quiet intervals, that is, nonstorm times with Dst > −50 nT. We find that low‐energy (<100 eV) electrons are a significant driver of O + upwelling on the nightside, particularly in the 2100 magnetic local time sector. Our analysis suggests that DMSP electron observations and electron precipitation models derived from them significantly underestimate the actual flux of soft (i.e., <100 eV) electrons.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".