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Bibliographic record
Abstract
Muon spin rotation measurements of ${\mathrm{Sr}}_{2}\mathrm{Y}({\mathrm{Ru}}_{1\ensuremath{-}u}{\mathrm{Cu}}_{u}){\mathrm{O}}_{6}$ (for $u=0.1)$ reveal two distinct muon sites: one located in a SrO layer (which is superconducting at low temperatures) and the other in a $\mathrm{Y}({\mathrm{Ru}}_{1\ensuremath{-}u}{\mathrm{Cu}}_{u}){\mathrm{O}}_{4}$ layer (which is magnetically ordered at low temperatures). A precursor spin-glass state due to the Ru moments is detected in high fields (\ensuremath{\approx}3.3 kOe) in $\mathrm{Y}({\mathrm{Ru}}_{1\ensuremath{-}u}{\mathrm{Cu}}_{u}){\mathrm{O}}_{4}$ layers, with a spin-glass temperature of ${T}_{G}=29.25\mathrm{K}.$ The $\mathrm{Y}({\mathrm{Ru}}_{1\ensuremath{-}u}{\mathrm{Cu}}_{u}){\mathrm{O}}_{4}$ layers order ferromagnetically in the a-b planes at the N\'eel temperature, ${T}_{N}\ensuremath{\approx}23\mathrm{K}.$ This in-plane ferromagnetism alternates direction between adjacent $\mathrm{Y}({\mathrm{Ru}}_{1\ensuremath{-}u}{\mathrm{Cu}}_{u}){\mathrm{O}}_{4}$ planes, resulting in a net antiferromagnetic structure. Although the onset of superconductivity is observed both by electron spin resonance and by dc susceptibility to occur for temperatures up to about ${T}_{c,\mathrm{onset}}\ensuremath{\approx}49\mathrm{K},$ this superconductivity is adversely affected by the Ru moments that fluctuate for $T>{T}_{N}$ producing magnetic fields that break pairs in the SrO layers. The muons, as well as other probes, sense the more-robust static superconductivity for $T<{T}_{G}.$ In fact, resistance measurements only show zero resistance below ${T}_{N},$ at which temperatures the Ru moments that fluctuated for $T>{T}_{N}$ are frozen in-plane. Hence strictly speaking, the superconducting transition temperature is the same as ${T}_{N},$ which is far below ${T}_{c,\mathrm{onset}}.$ Below ${T}_{N}$ there are no pair breaking fluctuating magnetic fields in the SrO layers where the hole condensate resides.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.008 |
| Meta-epidemiology (narrow) | 0.005 | 0.013 |
| Meta-epidemiology (broad) | 0.002 | 0.011 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.008 | 0.011 |
| Scholarly communication | 0.010 | 0.012 |
| Open science | 0.013 | 0.012 |
| Research integrity | 0.012 | 0.011 |
| Insufficient payload (model declined to judge) | 0.987 | 0.013 |
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; both teacher heads agree on what is shown here.
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".