Onset of a Boson Mode at the Superconducting Critical Point of Underdoped<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msub><mml:mi>YBa</mml:mi><mml:mn>2</mml:mn></mml:msub><mml:msub><mml:mi>Cu</mml:mi><mml:mn>3</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mi>y</mml:mi></mml:msub></mml:math>
Bibliographic record
Abstract
The thermal conductivity $\ensuremath{\kappa}$ of underdoped ${\mathrm{YBa}}_{2}{\mathrm{Cu}}_{3}{\mathrm{O}}_{y}$ was measured in the $T\ensuremath{\rightarrow}0$ limit as a function of hole concentration $p$ across the superconducting critical point at ${p}_{\mathrm{SC}}\ensuremath{\equiv}5.0%$. The evolution of bosonic and fermionic contributions to $\ensuremath{\kappa}$ was tracked as the doping level evolved continuously in each of our samples. For $p\ensuremath{\le}{p}_{\mathrm{SC}}$, we observe a ${T}^{3}$ component in $\ensuremath{\kappa}$ which we attribute to the boson excitations of a phase with long-range spin or charge order. Fermionic transport, observed as a $T$-linear term in $\ensuremath{\kappa}$ which persists unaltered through ${p}_{\mathrm{SC}}$, violates the Wiedemann-Franz law, since the electrical resistivity varies as $\mathrm{log}(1/T)$ and grows with decreasing $p$.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.004 |
| Meta-epidemiology (broad) | 0.001 | 0.005 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.237 | 0.003 |
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".