Model/data comparisons of ionospheric outflow as a function of invariant latitude and magnetic local time
Bibliographic record
Abstract
Globally quantifying ionospheric outflows as a function of local time, invariant latitude and solar wind conditions is the key to determining the mass loading of the magnetosphere, and it subsequent dynamics. This paper provides a first comparison of model predicted outflows with Polar and Akebono outflow measurements for a quiet period that occurred on 18 March 1997. It is shown that that the model is able to account for the H+ fluxes observed on the dayside by Akebono with fluxes of the order of several times 109 ions/cm2/s. H+ fluxes observed by Polar in the midnight auroral zone are lower by an order of magnitude than the model fluxes. The difference is attributed to the presence of a lower energy component below the low energy cutoff of TIMAS. During the geomagnetically quiet conditions considered here, the model underestimates the O+ flux seen by Akebono on the dayside. The model correctly predicts the energetic fluxes of O+ seen on the nightside by Polar at several 107 ions/cm2/s. This calibration of the outflow model predicts the following magnetospheric features: (1) the dayside ionospheric outflows leads to substantial (≳10 cm−3) densities of cold plasma in the vicinity of the magnetopause, particularly on the dusk side during periods of enhanced convection; (2) the composition of the magnetosphere can change over the course of very small IMF changes (±1–2 nT in the present study) with northerly turnings allowing solar wind entry via the low latitude boundary layer, while pressure pulses aid high latitude entry across a magnetopause that is otherwise dominated by ionospheric plasma on the earthward side of the magnetopause; and (3) the calculated changes in the ionospheric outflow rate are sufficiently large that composition of the magnetosphere can change from one that is predominantly ionospheric in origin to one that is primarily of solar wind origin for changes in the IMF as small as ±1 nT.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".