Plasma flow velocity measured by Swarm and inferred from SuperDARN global-scale convection maps
Bibliographic record
Abstract
Measurements of the plasma flow velocity along track of Swarm satellite motion, the SLIDEM product, are compared with the plasma flow component inferred from SuperDARN global-scale map by considering 3 separate months of joint observations in 2014–2015. On the velocity-velocity scatter plots, the majority of points are found to be located away from the line of perfect agreement with larger Swarm-based velocities. For the case of quasi-laminar flows, the slopes of a linear fit line are ∼1.4. For the case of all measurements, the slopes are smaller or larger depending on the considered dataset. Obtained histogram distributions for the velocity ratio are centered at values in the range of 1.0–1.5, with typically smaller values than the slopes of the fit line. It is concluded that SLIDEM velocities are not dramatically different from SuperDARN-based velocities in the majority of cases and thus can be used for studies of various features in high-latitude plasma flows.
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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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 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".