Progress on Perturbative Matching Calculations for the Charm Quark Mass using the HISQ Action
Bibliographic record
Abstract
Emel Dalgic ab, Kit Wongc, Christine Daviesc, Eduardo Follanad,Alistair Harte,Ron Horgan f , Peter Lepageg, Quentin Mason f , Junko Shigemitsud, Howard Trottiera and Jackson Wub aSimon Fraser University, Burnaby BC, Canada V5A 1S6 bTRIUMF, Vancouver BC, Canada V6T 2A3 cUniversity of Glasgow, Glasgow, UK G12 8QQ dThe Ohio State University, Columbus OH, USA 43210 eUniversity of Edinburgh, Edinburgh, UK EH9 3JZ f University of Cambridge, Cambridge, UK CB3 0HE gCornell University, Ithaca NY, USA 14853
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".