$^-S«’95^of</ DRAFTDRAFTDRAFTDRAFTDRAFTDRAFT 8Li: A P Calibration Source for SNO
Bibliographic record
Abstract
We propose to use P- particles from the decay of ^Li to calibrate the response of the Sudbury Neutrino Observatory [SNO] detector to high energy electrons. The ^Li will be produced by the! ^(n^a) reaction with 14-MeV neutrons from a small deuterium tritium [DT] neutron generator, located about 50 m away from the SNO detector, cavity. The short-lived (ti/2=0-838 s) recoil atoms from the solid ^B target foils will be transported by aerosol particles in a helium gas stream flowing through a flexible capillary tube. The transported activity will decay inside a wire chamber inside the DiO volume of SNO, so that ^Li decays can be identified by the signal from the 2-a decay of its daughter ^Be * nucleus. We have verified the principles and the yields from this proposed calibration scheme by experiments conducted at the Tandem Accelerator and Superconducting Cyclotron (TASCC) facility and the D-T neutron generator facility at Chalk River Laboratories (CRL).. 1.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.077 | 0.075 |
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".