In-situ evaluation of zirconium-bearing minerals for geochronology using micro X-ray fluorescence
Why this work is in the frame
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Bibliographic record
Abstract
In this contribution we present a method for pre-screening geological materials for zircon prior to submitting samples for heavy mineral separation. The proposed workflow utilizes micro X-ray fluorescence to identify zirconium-bearing pixels in slabbed rock samples. The open-source image analysis software ImageJ™ is applied to the micro X-ray fluorescence elemental map to determine the abundance and spatial distribution of zirconium-bearing pixels in the scanned surface area. This method allows for the prediction of zircon abundance and estimation of grain size within a sample which can be used to prioritize samples for geochronology as well as inform crushing and grinding metrics for heavy mineral separation. This information can ultimately lead to improved recovery of zircon and other mineral geochronometers for geochronological studies. Advantages of the proposed workflow include:•Minimal sample preparation and rapid results;•Analytical method is non-destructive; and•In-situ grain size estimation and abundance predictions prior to initiating time-consuming and costly heavy mineral separation methods.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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