Realistic lattice determination of<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msub><mml:mi>α</mml:mi><mml:mi>s</mml:mi></mml:msub><mml:mo stretchy="false">(</mml:mo><mml:msub><mml:mi>M</mml:mi><mml:mi>Z</mml:mi></mml:msub><mml:mo stretchy="false">)</mml:mo></mml:math>revisited
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
We revisit the earlier determination of ${\ensuremath{\alpha}}_{s}({M}_{Z})$ via perturbative analyses of short-distance-sensitive lattice observables, incorporating new lattice data and performing a modified version of the original analysis. We focus on two high-intrinsic-scale observables, $\mathrm{log}({W}_{11})$ and $\mathrm{log}({W}_{12})$, and one lower-intrinsic-scale observable, $\mathrm{log}({W}_{12}/{u}_{0}^{6})$, finding improved consistency among the values extracted using the different observables and a final result, ${\ensuremath{\alpha}}_{s}({M}_{Z})=0.1192\ifmmode\pm\else\textpm\fi{}0.0011$, $\ensuremath{\sim}2\ensuremath{\sigma}$ higher than the earlier result, in excellent agreement with recent nonlattice determinations and, in addition, in good agreement with the results of a similar, but not identical, reanalysis by the HPQCD Collaboration. A discussion of the relation between the two reanalyses is given, focusing on the complementary aspects of the two approaches.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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 it