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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 present $S$ factor data obtained from the Coulomb dissociation of $83\phantom{\rule{0.3em}{0ex}}\text{MeV}∕\text{nucleon}$ $^{8}\mathrm{B}$, and analyze $^{7}\mathrm{Be}$ longitudinal momentum distributions measured at 44 and $81\phantom{\rule{0.3em}{0ex}}\text{MeV}∕\text{nucleon}$ using a potential model, first-order perturbation theory, and dynamical solution of the time-dependent Schr\"odinger equation. Comparing our results with independent continuum-discretized coupled channels calculations, we study the reaction model and beam energy dependence of the $E2$ contribution to the dissociation cross section. By fitting radiative capture and Coulomb breakup data taken below relative energies of $400\phantom{\rule{0.3em}{0ex}}\text{keV}$ with potential models constrained by $^{7}\mathrm{Li}+n$ and $^{7}\mathrm{Be}+p$ elastic scattering data, we examine the mutual consistency of recent ${\mathit{S}}_{17}$ measurements and obtain a recommended value for ${S}_{17}(0)$ of $18.6\ifmmode\pm\else\textpm\fi{}0.4$ (experimental) $\ifmmode\pm\else\textpm\fi{}1.1$ (extrapolation) eV b $(1\ensuremath{\sigma})$. This result is in good agreement with recent experimental determinations of the asymptotic normalization coefficient of the valence proton wave function in $^{8}\mathrm{B}$.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.008 | 0.008 |
| Meta-epidemiology (narrow) | 0.005 | 0.010 |
| Meta-epidemiology (broad) | 0.002 | 0.011 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.009 | 0.009 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.011 | 0.011 |
| Research integrity | 0.009 | 0.010 |
| Insufficient payload (model declined to judge) | 0.294 | 0.009 |
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