Thermoluminescence and dosimetric characteristics study of quartz samples from Seyhan Dam Lake Terraces
Bibliographic record
Abstract
In the present study, soil samples of Seyhan Dam Lake Terraces were collected and then pure quartz samples were separated using various separation methods. The quartz samples were characterized using X-ray diffraction (XRD) and scanning electron microscopy – energy dispersive X-ray spectroscopy (SEM-EDX) methods. Thermoluminescence (TL) measurements were carried out using lexsyg smart TL – optically stimulated luminescence (OSL) reader with a constant heating rate of 1 °C/s from room temperature to 450 °C. Beta dose response of the samples were investigated in the dose range from 1 to 10 Gy and the linear dose response range was determined as 1–5 Gy. Computerized glow curve deconvolution (CGCD), peak shape, and isothermal decay (ID) methods were used to determine activation energy (E), order of kinetics (b), and frequency factor (s) of the samples. Furthermore, in this study, minimum detectable dose values of the quartz samples were also determined.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".