13:20 (30+5) University Involvement R. Thompson (U Calgary)
Bibliographic record
Abstract
The ALPHA experiment is a multi national effort (47 researchers) at the CERN AD facility to trap antihydrogen atoms. Canada is represented in the collaboration by 11 physicists, (UBC(2),SFU(1),TRIUMF(6)) and U of Calgary(2). The current effort is supported by a NSREC SRO(Special Research Opportunity grant) of $947K/3years.Triumf is making in-kind contributions. TRIUMF would like to have a review of the Canadian participation in the ALPHA experiment at the CERN AD to assess the level of commitment appropriate to this effort. The goals of the review is: 1) to identify if the Physics objectives for the program both in the short term ( Trapping Anti-hydrogen) and in the longer term ( Anti-hydrogen spectroscopy) can be realized. 2)To identify the progress made so far in achieving trapped anti-hydrogen, to review the role played by TRIUMF personnel in the experiment and the extend of its contributions,. 3) The review should assess the Canadian team’s performance so far and make an analysis of the cost/benefit ratio of TRIUMF’s participation. The review should comment on the value of a possible continuing involvement in the phase beyond that currently
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.559 | 0.324 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".