Quantifying fertile alteration in the Patterson Lake corridor, Saskatchewan, through visible-near infrared-shortwave infrared spectroscopy
Bibliographic record
Abstract
Visible-near infrared - shortwave infrared (VNIR-SWIR) spectroscopy, gamma-ray logs, and magnetic susceptibility measurements were taken on drill core samples that span the Patterson Lake exploration corridor (PLC) on the south-western margin of the Athabasca Basin. Clay mineralogy and mineral properties (composition, crystallinity) derived from reflectance spectra were compared with gamma-ray and magnetic susceptibility profiles to assess relationships between uranium mineralization and alteration in the crystalline basement. In all drill core, the clay mineralogy is similar to the clay alteration in deposits of the eastern portion of basin, although in the PLC, dickite is uncommon and kaolinite horizons are associated with high-grade mineralization. Several drill core exhibit trends between spectral parameters related to the crystallinity and thermal maturity of clays (illite and kaolinite) and uranium mineralization. A non-mineralized drill core with moderate clay alteration was expectantly nonmagnetic. In comparison, the magnetic susceptibility within a mineralized hole that included multiple lithologies correlated with observed parameters computed from reflectance spectra. These results highlight the efficacy of VNIR-SWIR reflectance spectroscopy in characterizing clay alteration associated with uranium mineralization. As shown throughout the Athabasca Basin, mineralogy and spectral parameters may vector towards fertile fluid conduits when expanded to property- or corridor-scales.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 | 0.000 |
| 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".