Bibliographic record
Abstract
DRAGON seeks to replace its BGO detectors with LaBr3:Ce detectors. The Geant4 simulation estimates gamma ray capture efficiency values of 3.384±0.011% and 1.113±0.007% for the BGO detector and the LaBr3:Ce detector, respectively for 0.6617 MeV gamma rays at 5 cm distance. The latter achieves an experimental efficiency of 1.102±0.042% and an experimental energy resolution of 3.282±0.036% for these gamma rays. The experimental and simulated LaBr3:Ce detector efficiency results agree within error. However, the simulation may overestimate the detector efficiency at high gamma ray energies, as observed at 4.44 MeV and 6.131 MeV. Furthermore, the timing method is performed to utilize its high time resolution. The average resonance energy is 0.47428±0.00815 MeV/u which agrees with the true value of 0.475 MeV/u. Therefore, the energy and time resolution of the LaBr3:Ce detector improve DRAGON’S ability to study radiative capture reactions, with its lower efficiency being its only drawback.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".