Characterization of metallic oxide thin-layer materials by Auger Electron Spectroscopy (AES) combined with Ar<sup>+</sup> ion etching
Bibliographic record
Abstract
La spectroscopie Auger (AES) est une methode analytique qui permet de determiner la composition atomique et, dans plusieurs cas, l'etat chimique des atomes de la surface d'une matiere solide. La pulverisation cathodique (sputtering) employee en alternance avec les spectres Auger permet d'obtenir des profils de concentration, ou la composition de l'echantillon est mesuree en fonction de la profondeur. Dans cet article, quelques exemples d'emploi de cette technique pour analyser des couches minces d'oxydes de surface sont discutes. Les profils de concentration des couches minces et de l'interface, aussi bien que l'etat chimique des composants et les mesures de l'epaisseur des couches minces sont examines.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".