‘Disordered’ Ba(Mg<sub>1/3</sub>Ta<sub>2/3</sub>)O<sub>3</sub>and its ordering transition
Bibliographic record
Abstract
The microstructure of the as-received disordered Ba(Mg1/3Ta2/3)O3 (BMT) and BMT after ordering heat treatment was studied by electron diffraction and high-resolution electron microscopy (HREM). ‘Disordered’ BMT consists of short-range-ordered nanodomains; diffuse streaking along all (111) directions is present in the reciprocal space. HREM images show that the BaO3 framework is unfaulted; the defects occur on the B cation (Mg and Ta) sublattice and consist of ‘chemical faults’. Such faults change the local composition, causing a local excess of either Mg or Ta. The overall 1:2 stoichiometry can be conserved by the occurrence of both types of fault. Heat treatments will remove these faults and yield 1:2 ordered nuclei; further annealing will make these ordered nuclei grow larger, inducing long-range-ordered orientation variants.
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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".