Substorm onset times as derived from geomagnetic indices
Bibliographic record
Abstract
New magnetic parameters, dAE and dAO, are introduced to determine the preferential times for substorm onsets. dAE and dAO are time derivatives of the standard AE and AO indices. By analyzing long series of dAE and dAO we reveal their seasonal and diurnal variations, which, unlike those of the original AE and AO, show reasonable similarity. The preferential periods of substorm onsets are shifted from the spring and fall equinoxes; they occur around 0900–1800 UT for the winter months with maxima of occurrence in October‐November and February‐March. Substorms are rarer during summer months at all UT hours, which is in agreement with the results of Newell et al. [1996] that aurora are suppressed in sunlight. The substorm suppression during summer months corresponding to large total conductance of conjugate ionospheres is consistent with one of the potential substorm triggering mechanisms, the magnetosphere‐ionosphere feedback instability.
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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 | 0.002 |
| 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".