Cathodoluminescence Spectra Acquisition Using an Imaging Spectrograph and CCD Detector: Materials Characterization Using Trivalent REE Doped Synthetic and Natural Materials
Bibliographic record
Abstract
Catholuminescence (CL) is a powerful imaging and spectroscopic technique that can be used to study a wide range of materials. This includes natural and synthetic minerals, and other types of ceramic materials, that contain either naturally occurring, or intentionally doped, transition metals, rare earth elements (REE), or the uranyl ion [1], respectively. Cathodoluminescence imaging can be used in natural and synthetic minerals to reveal internal zoning (growth and sectoral), radiation damage in different regions in crystals, and in some cases can be used to reveal different geologic events (Fig. Often these features are invisible or barely visible using transmitted or reflected light microscopy. Cathodoluminescence spectroscopy can often be used to identify the element(s) causing the CL emission and with sufficient spectral resolution (e.g., greater than 1 nm) quantify the crystal field effects of the impurity ion by the host material.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 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".