Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Five geomagnetic vector interpolation techniques are reviewed and compared by analyzing their performance when applied to realistic inputs simulated by a state-of-the-art geospace general circulation model. The availability of synthetic “ground truth” allows meaningful estimates of relative interpolation error as a two-dimensional function of separation between geographically sparse input coordinates. Three of these techniques – nearest neighbor, triangular barycentric, and Gaussian Process regression – are entirely based on the input data, and do not benefit from any knowledge of physics that might improve predictions in unsampled regions. Two of the techniques – spherical cap harmonic analysis and spherical elementary current system inversion – incorporate simple physical understanding into their basis functions and generally provide better predictions even when far removed from input measurements. Spherical elementary currents generate fewer interpolation artefacts in the spatial domain.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.006 |
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 it