Distorted iron films on<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi mathvariant="normal">GaAs</mml:mi><mml:mo>(</mml:mo><mml:mn>001</mml:mn><mml:mo>)</mml:mo><mml:mo>−</mml:mo><mml:mo>(</mml:mo><mml:mn>4</mml:mn><mml:mn/><mml:mo>×</mml:mo><mml:mn>6</mml:mn><mml:mo>)</mml:mo></mml:math>
Bibliographic record
Abstract
Polarized K-edge x-ray absorption fine structure spectroscopy (XAFS) studies were performed both in and ex situ on iron films deposited on GaAs substrates. Samples with 5 and 10 ML (monolayers) of iron deposited on sulfur-passivated and $(4\ifmmode\times\else\texttimes\fi{}6)$-reconstructed GaAs(001) surfaces, respectively, were studied ex situ (capped with 20 ML of gold) and compared with 9.3 ML on $\mathrm{GaAs}(001)\ensuremath{-}(4\ifmmode\times\else\texttimes\fi{}6)$ measured in situ. Analysis of XAFS spectra for both samples on $(4\ifmmode\times\else\texttimes\fi{}6)\ensuremath{-}\mathrm{GaAs}$ reveals a tetragonal distortion of the iron film relative to bulk body-centered-cubic iron. The distortion involves an in-plane contraction and an expansion perpendicular to the GaAs surface to give a $c/a$ ratio of 1.03(1), with a comparable to half the bulk lattice constant of GaAs. The sample on sulfur-passivated GaAs did not exhibit this distortion.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".