Bibliographic record
Abstract
Silicon photomultiplier (Sipm) as a type of solid-state photosensor is widely used in radiation detection. It has the advantages of high gain, compact size, compatibility with magnetic fields, and low operating voltage (approximately$30-50 ~\mathrm{V}$). However, its temperature sensitivity affects the stability of the gain. For the peak position of measurements in portable spectrometers, it will drift by about$\pm 10 \%$with temperature range from 0° C to 50° C. The common laboratory equipment operates within a temperature range of 0° C to 40° C. Our company now requires a radiation measurement device that can operate at a temperature range of 40° C to 50° C. Therefore, we have developed a programmable Sipm power supply unit. We tested the accuracy of the SiPM power supply voltage output under the temperature range of$-30^{\circ} \mathrm{C}$to 60° C, and the maximum deviation was less than 1 % overvoltage. We also used four common manufacturers' SiPMs to compare the peak position of the 662 kev full-energy peak of${ }^{137} \text{Cs}$. The maximum drift was less than 4 %.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".