Guidelines for location and use of base station data in aeromagnetic survey processing
Bibliographic record
Abstract
Observations have indicated that temporal variations in the magnitude of the geomagnetic field can show a significant decrease in correlation at distances larger than 200 km. We confirm this by a study of geomagnetic measurements from a magneto‐telluric survey in Alberta, Canada. Using these data, we estimate the coherence of the total‐field magnetic signal between pairs of stations as a function of distance. The measurements are from two profiles, one where a strong conductor is present at depth and one where the conductivity is laterally uniform over the penetration depth of the signals. The coherence decreases at short periods and with increasing distance between the stations. Different coherence behavior is observed for the two profiles. This is attributed to the differences in the geo‐electric sections. These results are used to propose improved guidelines for the use of base‐station measurements in aeromagnetic data processing.
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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 | 0.035 | 0.140 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.010 | 0.011 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.006 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 0.016 |
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".