Short-range spin correlations in<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msup><mml:mi>β</mml:mi><mml:mo>″</mml:mo></mml:msup><mml:msub><mml:mrow><mml:mtext>-LiFeO</mml:mtext></mml:mrow><mml:mn>2</mml:mn></mml:msub></mml:mrow></mml:math>from bulk magnetization, neutron diffraction, and<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mi>μ</mml:mi><mml:mtext>SR</mml:mtext></mml:mrow></mml:math>experiments
Bibliographic record
Abstract
Bulk magnetization, neutron-diffraction, and muon-spin-rotation/relaxation $({\ensuremath{\mu}}^{+}\text{SR})$ measurements have been performed to study magnetic ordering behavior in ${\ensuremath{\beta}}^{\ensuremath{''}}{\text{-LiFeO}}_{2}$. At room temperature, structural short-range order of Fe atoms was observed with correlation length roughly corresponding to inter-Fe distance. Bulk magnetization, ${\ensuremath{\mu}}^{+}\text{SR}$ and neutron diffraction all suggest that ${\ensuremath{\beta}}^{\ensuremath{''}}{\text{-LiFeO}}_{2}$ is similar to a superparamagnet in the range $110<T<170\text{ }\text{K}$, possibly due to the formation of small spin clusters attributable to atomic short-range order. At lower temperatures, gradual increase in the muon precession frequency as well as the neutron diffuse scattering intensity were observed below 110 K, indicating development of intercluster correlations. While a bulk magnetic ordering was detected in the ${\ensuremath{\mu}}^{+}\text{SR}$ results, neutron diffraction concludes that the intercluster correlations are definitely short ranged; the correlation length was estimated as ${\ensuremath{\xi}}_{\text{s}}\ensuremath{\approx}14\text{ }\text{\AA{}}$, which is almost temperature independent.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.106 | 0.020 |
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".