Synthetic model testing and distributed acquisition dc resistivity results over an unconformity uranium target from the Athabasca Basin, northern Saskatchewan
Why this work is in the frame
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Bibliographic record
Abstract
The dc resistivity method has become a preferred reconnaissance mapping tool for uranium exploration targets in the Athabasca Basin, in northern Saskatchewan, Canada. Regionally, uranium deposits can occur beneath <100 m to >1 km thick sandstone cover rocks, are commonly associated with deeper basement graphitic metasedimentary units and are also often accompanied by clay-alteration zones in the sandstones. As a result, deep-penetrating electromagnetic and electrical geophysical techniques are ideally suited for indirect exploration of these types of deposits. A variety of electrode configurations are being used, however the pole-pole array is currently favoured in the Athabasca Basin due to its high signal levels, its deep penetration and its anomaly resolution. More recently, however, other technologies such as audio-magnetotellurics (AMT/MT) and 24-bit A/D distributed acquisition systems (DAS) have been introduced to extend the depth of exploration below 1 km. In the example presented here, a DAS acquisition system was used to acquire dc resistivity data, using a variety of electrode arrays, to examine the response parameters from the different configurations along a single line located along a known conductive trend at the M-Zone on the Wheeler River property.
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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