Modification of the metallic surface of silver by the formation of alkanethiol selfassembled monolayers with subsequent reaction with chlorosilanes
Bibliographic record
Abstract
Abstract. This report describes effect of the preparation procedures on the quality of self-assembled monolayers (SAMs) on the silver surface for developing protective films against attack by atmospheric pollutants including oxidation. Various silver substrates covered with the 11-mercapto-1-undecanol (MUO) and chemically modified MUO with octyltrichlorosilane were analyzed by X-ray Photoelectron Spectroscopy (XPS). Difference in composition of monolayers from n-alkanethiols at Ag relative to the method used for cleaning the surface and other preparation details were observed. Contrarily to the assembly of high-quality alkanethiolate monolayers and its subsequent modification by chlorosilanes on gold surface preparation of SAMs on the surface of silver were more complex and the least reproducible. 1.
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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 | 0.000 | 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) | 0.000 | 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".