A multiple transmitter and receiver electromagnetic system for improved target detection
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
In inductive electromagnetic (EM) geophysics, repeating measurement stations using multiple transmitter positions and summing these datasets into a single dataset can drastically improve the signal-to-noise (S/N) ratio from targets, especially deeper ones. The manner in which these datasets (one dataset per transmitter location) are summed depends on the target location and orientation. A simple method to estimate the target location and orientation is to compare the summed responses with a lookup table of known locations and orientations. Once the location and orientation is known, a new dataset can be created which will enhance the S/N ratio for that particular target. If multiple large moment transmitters are used (such as airborne transmitters) then S/N ratios significantly larger than large ground horizontal loops are possible. In a test ground time-domain EM survey, 25 transmitter positions were used and the location and orientation of a shallow target could be determined. The resultant summed profile had a larger S/N ratio and, as such, was easier to interpret.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 it