Additional file 1 of Light ion dynamics in the topside ionosphere and plasmasphere during geomagnetic storms
Bibliographic record
Abstract
Additional file 1. Fig. S1: For Swarm A, C, and B, superposed epoch statistics of SITE ion temperatures (a, b, c, respectively) and electron temperatures (d, e, f, respectively). Solid line denotes the median values, while the error bars denote the 25% and 75% quartiles. Table S2: Ionosonde HmF2 and f0F2 values for the same geomagnetic storms dataset as used to generate the Swarm plots. Every 11-row section denotes a storm, with the middle row denoting the day and hour of the storm (zero epoch) while the 5 rows above and below it denote the 5 days above and below the storm, respectively. Fig. S3: A graph demonstrating the control of effective mass by the [H+] fraction under various concentrations of [He+], [N+], [O+] and [NO+]. Fig. S4: Effective mass superposed epoch statistics highlighting hemispheric differences. Blue plots denote M_i_eff statistics in the northern hemisphere, red show the southern hemisphere, and pink shows equatorial latitudes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.780 | 0.202 |
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".