On the Growth of Fluorocarbon Thin Films Deposited on Plasma‐Etched 316L Stainless Steel
Bibliographic record
Abstract
Abstract Plasma fluorocarbon films deposited on 316L stainless steel have shown promising adhesion properties as potential stent coatings. However, further analyses revealed the occurrence of nano‐defects, which led to water infiltration and delamination. Plasma etchings with two different gases, C2F6 and H2, were applied prior to the coating deposition in order to etch the oxide layer of the stainless steel and to create activated sites on the surface to promote the polymerization. Surfaces and thin layers were analyzed by atomic force microscopy, X‐ray photoelectron spectroscopy, time of flight‐secondary ion mass spectrometry, fourier‐transform infra‐red spectroscopy, and near edge X‐ray absorption fine structure to study the film growth mechanism. Hydrogen etchings demonstrated to play a crucial role in the first step of the fluorocarbon growth through the formation of hydroxides at the stainless steel surface, which served as initiator during plasma polymerization. magnified image
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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".