Petrogenetic interpretation from gamma-ray spectrometry and geological data: the Arch Lake zoned peraluminous granite intrusion, Western Canadian Shield
Bibliographic record
Abstract
Airborne gamma-ray spectrometry data acquired over the Arch Lake granite batholith in the Western Canadian Shield display compositional patterns not previously identified by geological field mapping. An integrated analysis of gamma-ray spectrometric, geochemical and mineralogical data was conducted to map and analyse these patterns, and to obtain insight in their petrogenetic significance. Enhancement and cluster analysis of the K, eTh and eU grids reveal that the Arch Lake granite is zoned in a complex manner with a Th-rich centre and Th-rich, locally Urich outer margins. The Th-rich centre broadly corresponds to highs in interpolated patterns of Zr and TiO2, reflecting a regional mineralogical association between biotite, monazite, zircon and Fe-oxides. The negative trend of this Th-rich mineralogical association with SiO2 is not consistent with normally-zoned plutons formed by differentiation of a single magmatic pulse. Instead, two spectrally distinct K-eTh zones suggest that the Arch Lake batholith is a composite intrusion. Gamma-ray spectrometry surveys can be considered a useful tool for mapping subtle compositional variations in granites. Integrated analysis on the basis of geochemical data and mineralogical observations, however, is required to constrain the possible petrogenetic interpretations.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".