Determination of the nature of fluctuations using <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mmultiscripts><mml:mi>Li</mml:mi><mml:mprescripts/><mml:none/><mml:mn>8</mml:mn></mml:mmultiscripts></mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mmultiscripts><mml:mi>Li</mml:mi><mml:mprescripts/><mml:none/><mml:mn>9</mml:mn></mml:mmultiscripts><mml:mspace width="4pt"/><mml:mi>β</mml:mi></mml:math>-NMR and spin-lattice relaxation
Bibliographic record
Abstract
We report a comparison of the $1/{T}_{1}$ spin-lattice relaxation rates for $^{9}\mathrm{Li}$ and $^{8}\mathrm{Li}$ in Pt and ${\mathrm{SrTiO}}_{3}$, in order to differentiate between magnetic and electric quadrupolar relaxation mechanisms. In Pt, the ratio of the $1/{T}_{1}$ spin relaxation rates ${R}_{\text{Pt}}$ was found to be 6.82(29), which is close to but less than the theoretical limit of $\ensuremath{\sim}7.68$ for pure magnetic relaxation. In ${\mathrm{SrTiO}}_{3}$ this ratio was found to be 2.7(3), which is close to but larger than the theoretical limit of $\ensuremath{\sim}2.14$ expected for pure electric quadrupolar relaxation. These results bring insight into the nature of the fluctuations in the local environment of implanted $^{8}\mathrm{Li}$ observed by $\ensuremath{\beta}$-NMR.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".