Advancements in 3D time-domain electromagnetic inversion in the Athabasca Basin, Canada: A unique case study from the West McArthur project
Bibliographic record
Abstract
Ground time-domain electromagnetic (TDEM) data were collected on the adjacent West McArthur and Read Lake uranium exploration projects, located within the Athabasca Basin in northern Saskatchewan, Canada. Three independent stepwise moving loop surveys were combined and inverted in three dimensions (3D) to produce a camp-scale conductivity model, interpreted to represent the C10 conductive corridor. Several steps were required in order to merge the datasets prior to inversion, including coordinate and data transformations, removal of spurious data points, assignment of uncertainties, and waveform optimization. The inversion results correlate well with both airborne and borehole geophysical data, as well as geological information from drilling. Inversion of TDEM data in 3D provides a valuable product to help with both interpretation and targeting of graphitic conductors when exploring for uranium mineralization in the Athabasca Basin. Presentation Date: Wednesday, September 18, 2019 Session Start Time: 8:30 AM Presentation Time: 10:10 AM Location: 301B Presentation Type: Oral
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".