The Development Of A Gadolinium Isopropoxide-Loaded Plastic Scintillator As An Active Neutron Veto For The SuperCDMS SNOLAB Experiment
Bibliographic record
Abstract
The Cryogenic Dark Matter Search (CDMS) is an experiment that looks for dark matter, specifically weakly-interacting massive particles (WIMPs).Currently, the SuperCDMS SNOLAB dark matter detector, the successor to SuperCDMS Soudan, is being developed for placement at the SNOLAB research facility in Canada.[1] As the sensitivity of this detector is increased, the suppression of neutron backgrounds through the traditional methods of using highly radiopure materials and passive shielding becomes much more difficult.[2] Single scatter neutron events can produce nuclear recoils that are indistinguishable from WIMP interactions.One method of measuring the background radiation is by replacing some of the passive shielding with an active neutron veto composed of a metal-loaded plastic scintillator.
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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 | 0.001 | 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) | 0.001 | 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".