Crystallinity and surface morphology of YBCO thin films using an amorphous buffer layer deposited at a low temperature
Bibliographic record
Abstract
We have investigated the crystallinity and surface morphology of main YBCO films and buffer layers deposited on an MgO substrate by a low temperature buffer layer deposition technique. A significant improvement in the crystalline quality of the YBCO film is achieved when an amorphous buffer layer of 100 [nm] in thickness on bare MgO substrate annealed at 930[/spl deg/C] is crystallized by annealing temperature 950[/spl deg/C] for 1 hour in an air atmosphere. The surface of main YBCO films has pyramid like large grains when YBCO films have good crystallinity. We confirmed that YBCO films grown on a well-crystallized buffer layer had better crystallinity than ones grown on bare MgO substrate.
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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 | 0.000 | 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 teacher head, 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".