Electroproduction of the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi mathvariant="normal">Λ</mml:mi><mml:mtext>/</mml:mtext><mml:msup><mml:mi mathvariant="normal">Σ</mml:mi><mml:mn>0</mml:mn></mml:msup></mml:math> hyperons at <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msup><mml:mi>Q</mml:mi><mml:mn>2</mml:mn></mml:msup><mml:mo>≃</mml:mo><mml:mn>0.5</mml:mn></mml:mrow></mml:math> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msup><mml:mrow><mml:mo>(</mml:mo><mml:mi>GeV</mml:mi><mml:mo>/</mml:mo><mml:mi>c</mml:mi><mml:mo>)</mml:mo></mml:mrow><mml:mn>2</mml:mn></mml:msup></mml:math> at forward angles
Bibliographic record
Abstract
In 2018, the E12-17-003 experiment was conducted at the Thomas Jefferson National Accelerator Facility (JLab) to explore the possible existence of an $nn\mathrm{\ensuremath{\Lambda}}$ state in the reconstructed missing mass distribution from a tritium gas target [K. N. Suzuki et al., Prog. Theor. Exp. Phys. 2022, 013D01 (2022); B. Pandey et al., Phys. Rev. C 105, L051001 (2022)]. As part of this investigation, data were also collected using a gaseous hydrogen target, not only for a precise absolute mass scale calibration but also for the study of $\mathrm{\ensuremath{\Lambda}}/{\mathrm{\ensuremath{\Sigma}}}^{0}$ electroproduction. This dataset was acquired at ${Q}^{2}\ensuremath{\simeq}0.5$ ${(\mathrm{GeV}/c)}^{2}$, $W=2.14$ GeV, and ${\ensuremath{\theta}}_{\ensuremath{\gamma}\mathrm{K}}^{\mathrm{c}.\mathrm{m}.}\ensuremath{\simeq}{8}^{\ensuremath{\circ}}$. It covers forward angles where photoproduction data are scarce and a low-${Q}^{2}$ region that is of interest for hypernuclear experiments. On the other hand, this kinematic region is at a slightly higher ${Q}^{2}$ than previous hypernuclear experiments, thus providing crucial information for understanding the ${Q}^{2}$ dependence of the differential cross sections for $\mathrm{\ensuremath{\Lambda}}/{\mathrm{\ensuremath{\Sigma}}}^{0}$ hyperon electroproduction. This paper reports on the ${Q}^{2}$ dependence of the differential cross section for the $e+p\ensuremath{\rightarrow}{e}^{\ensuremath{'}}+{K}^{+}+\mathrm{\ensuremath{\Lambda}}/{\mathrm{\ensuremath{\Sigma}}}^{0}$ reaction at $0.2--0.8$ ${(\mathrm{GeV}/c)}^{2}$, and provides comparisons with the currently available theoretical models.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.098 | 0.039 |
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".