Mapping radiation-damage annealing in zircon
Bibliographic record
Abstract
<p align="justify">Radiation damage accumulates in the zircon lattice due to α-disintegration of trace levels of U, Th, and their α-emitting daughters. Upon heating, the lattice damage anneals in two stages by elimination of point defects and crystallization of amorphous domains. Raman spectroscopy is the method of choice to track lattice repair over the two stages due to changes in Raman positions and bandwidths (FWHM) of different bands during annealing. In annealing experiments with controlled time and temperature conditions, the process is usually monitored by Raman measurements after each experimental run. Raman mapping of partially annealed zircon proves to be even more effective than point measurements: (1) the zoning in actinide concentrations enables the comparison of annealing in zones with different initial damage; (2) spatial effects of annealing such as the fading of zoning can be taken into account; (3) tracking changes in the Raman signal from each spot in the map enables to acquire a large amount of annealing data. <p align="justify">While earlier studies produced Raman maps of zircon annealed at high temperatures, we focused on low-temperature stage I annealing. We carried out isothermal annealing experiments on four polished Plešovice zircon grains (1.5 – 2 mm diameter), at temperatures between 300 and 610 °C, with durations between 5 minutes and 70 days, mapping out four Raman bands after each annealing run. Our results show the progressive evolution of the Raman parameters with annealing time and temperature and allow the comparison to natural samples that underwent annealing during their geological history.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.006 | 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 teacher head, 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".