Comparison of geophysical, mineralogical, and stratigraphic attributes in drillholes MAC-218 and RL-88, McArthur River uranium camp, Athabasca Basin, Saskatchewan
Bibliographic record
Abstract
Multiparameter downhole geophysical measurements in two representative boreholes in the eastern Athabasca Basin are compared to visual, petrographic, mineralogical, and lithogeochemical analyses of their drill cores. Natural gamma-ray spectrometry data exhibit increased levels of radioactivity in the Read and Manitou Falls formations that relate mainly to natural thorium and, to a lesser extent, uranium abundances, whereas potassium responses are generally low. Thorium responses in these quartz-dominated fluvial deposits are closely correlated with detrital grain-size parameters such as the per cent of grains greater than 2 mm and are therefore interpreted to relate to primary heavy mineral accumulations and their diagenetic products (crandallite-group minerals) within coarser grained beds. Diagenetic attributes such as porosity and silicification are positively correlated with density, resistivity, and acoustic velocity. Natural gamma-ray logs are thus guides to stratigraphy, and other geophysical parameters calibrate ore-related alteration features, thereby facilitating integration of geological and geophysical transects.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".