Bibliographic record
Abstract
In this work we consider the axial-vector form factors of the nucleon in flavor-SU(2) and of the baryon octet in flavor-SU(3) Chiral Perturbation Theory.We include the ∆-isobar and the baryon decuplet as explicit degrees of freedom and focus on their consistent treatment in terms of chiral power counting.We employ the use of on-shell meson and baryon masses in the one-loop contributions to the axial-vector form factors.The convergence properties of such an approach are scrutinized.Our results are compared to the available flavor-SU(2) QCD lattice data. AbstraktIn dieser Thesis betrachten wir die Axialvektor-Formfaktoren des Nukleons in Flavor-SU(2) und des Baryon Oktetts in Flavor-SU(3) chiraler St örungstheorie.Wir ber ücksichtigen das ∆-Isobar und das Baryon Dekuplett als explizite Freiheitsgrade mit besonderem Schwerpunkt auf deren konsistente Behandlung in Bezug auf das chirale Z ählschema.Wir verwenden On-Shell Meson-und Baryonmassen in den Ein-Schleifenbeitr ägen zu den Axialvektor-Formfaktoren.Die Konvergenzeigenschaften eines solchen Verfahrens werden detailliert analysiert.Unsere Resultate vergleichen wir mit den verf ügbaren Flavor-SU(2) QCD-Gitterdaten.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".