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Bibliographic record
Abstract
The kaon electroproduction reaction $^{1}\mathrm{H}$($e,{e}^{\ensuremath{'}}{K}^{+}$)$\ensuremath{\Lambda}$ was studied as a function of the virtual-photon four-momentum, ${Q}^{2}$, total energy, $W$, and momentum transfer, $t$, for different values of the virtual-photon polarization parameter. Data were taken at electron beam energies ranging from $3.40$ to $5.75$ GeV. The center of mass cross section was determined for twenty-one kinematics corresponding to ${Q}^{2}$ of $1.90$ and $2.35$ GeV${}^{2},$ and the longitudinal, ${\ensuremath{\sigma}}_{L}$, and transverse, ${\ensuremath{\sigma}}_{T}$, cross sections were separated using the Rosenbluth technique at fixed $W$ and $t$. The separated cross sections reveal a flat energy dependence at forward kaon angles not satisfactorily described by existing electroproduction models. Influence of the kaon pole on the cross sections was investigated by adopting an off-shell form factor in the Regge model, which better describes the observed energy dependence of ${\ensuremath{\sigma}}_{T}$ and ${\ensuremath{\sigma}}_{L}$.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.276 | 0.161 |
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".