Metallic membranes for the separation of hydrogen at high temperatures
Bibliographic record
Abstract
Ce travail resume quelques techniques utilisees pour la synthese de membranes metalliques composites. L'accent est mis sur les membranes composites de Pd et d'alliages de Pd. La premiere partie de cette contribution traite de travaux fait sur l'assemblage de feuilles metalliques et de supports poreux. Les avancees techniques pour la preparation de membranes composites de Pd et de ses alliages par la methode dite electroless sont abordees en deuxieme partie. Le choix de la methode de deposition de metal (Pd), du support poreux, des barrieres isolantes et des techniques servant a modifier la surface du support poreux sont discutees. Finalement, le developpement de defauts a l'origine de fuites et de pertes de selectivites dans les membranes composite de Pd et de ses alliages preparees par la methode electroless est discute.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".