Room Temperature Surface Bio-Sulfurisation via Natural Sativum Annilin and Bioengineering of Nanostructured CuS/Cu 2S
Bibliographic record
Abstract
In this contribution, we report, for the first time, on the surface bio-sulfurisation of metallic surfaces at room temperature via natural sativum annilin . More precisely, this bio-sulfurisation is validated on bioengineered nanostructured Cu 2-X S surfaces using natural organosulfur compounds emitted from Sativum allium L. as efficient sulfurisation chemical agents. It is validated that virgin copper surfaces can be sulfurised at room temperature without adding any extra chemical or physical processes. In addition to the validation of the green sulfurisation process of the copper surface, the bioengineered Cu 2-X S exhibited a multiscale 1-D tubular morphology with Cu 2-X S nanotubules and nanocones. Such a nanostructured Cu 2-X S surface exhibited an excessive optical selectivity, a superhydrophobicity response in addition to a remarkable site selective mercury adsorption.
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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".