Magnetic ordering in Gd<sub>3</sub>Cu<sub>4</sub>Sn<sub>4</sub>and Gd<sub>3</sub>Ag<sub>4</sub>Sn<sub>4</sub>studied using<sup>119</sup>Sn Mössbauer spectroscopy
Bibliographic record
Abstract
The magnetic properties of Gd3Cu4Sn4 and Gd3Ag4Sn4 have been investigated using 119 Sn Mossbauer spectroscopy. We find that the Neel temperature (TN) for Gd3Ag4Sn4 is 28.8(2) K, much higher than previously reported and fully consistent with de Gennes scaling for the R3T4Sn4 (T = Cu, Ag) compound series. The 8 K event previously identified as TN is most likely a spin reorientation transition. By contrast, TN for Gd3Cu4Sn4 is confirmed to be anomalously low at only 13.6(1) K, consistent with earlier specific heat data. The sub-splitting of the 119 Sn Mossbauer spectrum for Gd3Cu4Sn4 at 1.55 K points to a complex magnetic structure, but we find no evidence for the lower- temperature events that are apparent in susceptibility data.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".