Comaparison Of Survey Results From Em-61 And Beep Mat For Uxo In Basaltic Terrain
Bibliographic record
Abstract
Site S-12 is one of several World War II era bombing targets found on the Pueblos of Laguna and Isleta in New Mexico. Magnetometry results from a low-altitude helicopter magnetometry survey at S-12 were inconclusive as to the extent and density of the ordnance debris field because underlying basalt flows created such a strong background signal. Subsequently, a team from Battelle and GDD Inc. carried out ground geophysical surveys to test the effectiveness of a geophysical instrument called Beep Mat. Beep Mat is mounted in a rugged sled and is designed to be towed over the ground or through snow. Originally developed for Canadian mineral prospecting, it has the ability to distinguish between conductive and non-conductive materials and between magnetic and non-magnetic materials. It is therefore a potentially useful instrument for UXO detection and discrimination. At Site S-12, a 100m x 50m grid was established in an area thought to be on the periphery of the bombing target. Geophysical data using EM-61, and Beep Mat were collected over the grid at one meter line spacing. Both the EM-61 and the Beep Mat data produced similar maps showing locations of scrap and UXO, but Beep Mat anomaly peaks were randomly offset about 2m from EM-61 anomaly peaks.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".