Topical Workshop on Low Radioactivity Techniques : LRT 2004 : Sudbury, Ontario, Canada, 12-14 December 2004
Bibliographic record
Abstract
This workshop examined the state-of-the-art of all techniques for measuring radioactivity at ultra-low activity levels as well as all aspects of the development of low-background detectors. Such detectors are needed to study physical processes that can only be observed when all sources of interfering background are reduced to a very low level. These techniques are essential to develop next generation detectors for neutrino research, solar neutrino physics, and neutrino astrophysics, as well as measurement of the double beta-decay process and the search for dark matter in the universe. Topics covered include: experimental radio-purity requirements, methods for shielding detectors from cosmic rays and local radioactivity, methods for the measurement of impurities in bulk materials, in gases, and on surfaces, techniques for materials purification, and related subjects. The workshop marked the beginning of excavation for the new international facility for deep underground particle astrophysics (SNOLAB), located in Sudbury, Canada.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.169 | 0.064 |
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".