Multiband Order Parameters for the<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msub><mml:mi>PrOs</mml:mi><mml:mn>4</mml:mn></mml:msub><mml:msub><mml:mi>Sb</mml:mi><mml:mn>12</mml:mn></mml:msub></mml:math>and<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msub><mml:mi>PrRu</mml:mi><mml:mn>4</mml:mn></mml:msub><mml:msub><mml:mi>Sb</mml:mi><mml:mn>12</mml:mn></mml:msub></mml:math>Skutterudite Superconductors from Thermal Conductivity Measurements
Bibliographic record
Abstract
Thermal conductivity measurements were performed on single crystal samples of the superconducting filled-skutterudite compounds ${\mathrm{PrOs}}_{4}{\mathrm{Sb}}_{12}$ and ${\mathrm{PrRu}}_{4}{\mathrm{Sb}}_{12}$ both as a function of temperature and transverse magnetic field. In a zero magnetic field, the low temperature electronic thermal conductivity of ${\mathrm{Pr}\mathrm{Ru}}_{4}{\mathrm{Sb}}_{12}$ is consistent with a fully gapped Fermi surface. For ${\mathrm{Pr}\mathrm{Os}}_{4}{\mathrm{Sb}}_{12}$, residual electronic conduction in the zero-temperature limit is consistent with the presence of nodes in the superconducting energy gap. The electronic thermal conductivity for both compounds shows a rapid rise at low magnetic fields. In ${\mathrm{Pr}\mathrm{Ru}}_{4}{\mathrm{Sb}}_{12}$, this is interpreted in terms of multiband effects. In ${\mathrm{Pr}\mathrm{Os}}_{4}{\mathrm{Sb}}_{12}$, we consider the Doppler shift of nodal quasiparticles and multiband effects.
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.004 | 0.007 |
| Meta-epidemiology (broad) | 0.002 | 0.008 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.008 | 0.006 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.123 | 0.006 |
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".