Feature Story: Another TRIUMF for U of R Physics
Bibliographic record
Abstract
The University of Regina is part of a consortium of universities contributing their expertise to a cutting edge research facility. The Canadian Foundation for Innovation has approved an application from the University of Victoria (UVic) for more than $13 million to help expand the Advanced Rare Isotope Laboratory (ARIEL ) in Vancouver. The facility is operated by TRIUMF, Canada’s national laboratory for particle and nuclear physics. The U of R has a 30 year involvement with TRIUMF experiments and is one of 19 universities (including UVic) on its board. ARIEL will allow TRIUMF to expand its groundbreaking research in areas of science, health (medical isotopes used in imaging and therapy) and technological applications for industry. ARIEL together with TRIUMF will deliver important social and economic impacts, in medical isotopes for targeted cancer therapy, and in continued advancement of accelerator technology in Canada in partnership with industry.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.008 | 0.007 |
| Insufficient payload (model declined to judge) | 0.162 | 0.052 |
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".