A “Paint-On” Protocol for the Facile Assembly of Uniform Microgel Coatings for Color Tunable Etalon Fabrication
Bibliographic record
Abstract
Robust, uniform, monolithic microgel thin films can be created by actively spreading a concentrated solution of microgels onto a Au surface at 30 °C. The method is easy, fast, and seemingly universal: it can be used to coat a variety of Au coated surfaces with microgels containing different chemical functionalities. No control of the deposition conditions, other than temperature and microgel concentration, is required. We show that this technique consistently produces monolithic microgel films on Au-coated surfaces, and it has been extended to coat Si substrates. After deposition of a thin Au overlayer onto the deposited microgel layer, the materials are colored, as evidenced by multiple peaks in their reflectance spectra. The assemblies deposited using the described "paint-on" technique show increased spectral and visual purity over the entire surface area as compared to colored materials made by a previously used passive drying process.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".