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Bibliographic record
Abstract
This paper reveals the origin of a variation in magnitude and temperature dependence of the normal-state resistivity frequently observed in different ${\mathrm{YBa}}_{2}{\mathrm{Cu}}_{3}{\mathrm{O}}_{7\ensuremath{-}\ensuremath{\delta}}$ (YBCO) single-crystal or thin-film samples with the same ${T}_{c}.$ We investigated temperature dependence of resistivity in ${\mathrm{YBa}}_{2}{\mathrm{Cu}}_{3}{\mathrm{O}}_{7\ensuremath{-}\ensuremath{\delta}}$ thin films with $7\ensuremath{-}\ensuremath{\delta}$ between 6.80 and 6.95, which were subjected to annealing in argon at 400--420 K $(120--140\ifmmode^\circ\else\textdegree\fi{}\mathrm{C})$ or aging at room temperature in air. Before annealing (or aging) these films exhibited a nonlinear ${\ensuremath{\rho}}_{\mathrm{ab}}(T),$ with a flattening [superlinear ${\ensuremath{\rho}}_{\mathrm{ab}}(T)]$ below 220--230 K, similar to ${\ensuremath{\rho}}_{b}(T)$ and ${\ensuremath{\rho}}_{\mathrm{ab}}(T)$ observed in untwinned and twinned YBCO crystals, respectively. For all films the annealing causes an increase of resistivity and a transformation of ${\ensuremath{\rho}}_{\mathrm{ab}}(T)$ from a nonlinear (superlinear) dependence towards a more linear one (less flattening). For films annealed in argon with $7\ensuremath{-}\ensuremath{\delta}=6.90$ the increase of resistivity is also associated with an increase in ${T}_{c}.$ We proposed a model that provides an explanation of these phenomena in terms of thermally activated redistribution of residual O(5) oxygens in the chain layer of YBCO. A good agreement between the experimental data for ${\ensuremath{\rho}}_{\mathrm{ab}}(t,T),$ where t is the annealing time, and numerical calculations was obtained.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.168 | 0.082 |
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".