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Bibliographic record
Abstract
Absorption bands corresponding to the crystal-field excitations in ${\mathrm{Pr}}_{1.05}{\mathrm{Ba}}_{1.88}{\mathrm{Cu}}_{2.39}{\mathrm{Al}}_{0.34}{\mathrm{O}}_{6+y}$ and ${\mathrm{Pr}}_{0.93}{\mathrm{Ba}}_{1.93}{\mathrm{Sr}}_{0.13}{\mathrm{Mg}}_{0.05}{\mathrm{Cu}}_{2.74}{\mathrm{O}}_{6+y}$ (where $y\ensuremath{\sim}0)$ have been observed by Raman scattering and infrared transmission spectroscopy. These excitations are assigned to transitions occurring from the two lowest-energy levels of the ${}^{3}{H}_{4}$ multiplet to the excited multiplets ${}^{3}{H}_{5},$ ${}^{3}{H}_{6},$ ${}^{3}{F}_{2},$ and ${}^{3}{F}_{3}$ of ${\mathrm{Pr}}^{3+}$ ions located in their ${D}_{4h}$-symmetry sites. The spectra exhibit additional bands consistent with the presence of ${\mathrm{Pr}}^{3+}$ ions in the ${C}_{4v}$-symmetry Ba sites, as well as various defects associated with disorder. This analysis confirms that the phenomenological crystal-field parameters follow the trends reported in ${\mathrm{NdBa}}_{2}{\mathrm{Cu}}_{3}{\mathrm{O}}_{6}$ and ${\mathrm{SmBa}}_{2}{\mathrm{Cu}}_{3}{\mathrm{O}}_{6}.$ A spectral splitting of the ${\ensuremath{\Gamma}}_{5}$ levels is observed at low temperature and indicates Pr-Cu exchange interaction. Al doping results in the expected inversion of the ${\ensuremath{\Gamma}}_{5}\ensuremath{-}{\ensuremath{\Gamma}}_{1}$ symmetry sequence of the quasitriplet ground state, in accordance with the magnetic-susceptibility anisotropy measurements.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 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".