Dynamics Related to Plasmasheet Flow Bursts as Revealed from the Aurora
Bibliographic record
Abstract
Auroral observations in combination with radar observations of ionospheric flows have revealed much about the mesoscale flow bursts along nightside, plasmasheet magnetic field lines. The major disturbances within the magnetosphere-ionosphere system include the disturbances associated with poleward boundary intensifications and aurora streamers themselves. Studies have shown that flow bursts can also lead to auroral arc formation during the sub-storm growth phase and to the substorm onset instability in the near-Earth plasmasheet. Additionally, during the substorm expansion phase, the flow bursts appear to have larger signatures than before substorms. They drive much of the expansion phase dynamics, including the substorm current wedge via a series of flow bursts, as well as much of the geomagnetic activity associated with expansion phase itself. Flow bursts that reach the subauroral polarization stream (SAPS) region lead to large SAPS region flow enhancements that propagate westward in association with westward-moving auroral enhancement.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".