Miniemulsion Polymerizations Using Static Mixers: Towards High Biocompatible Hydrophobe Contents
Bibliographic record
Abstract
Abstract Simple static mixers have been used as homogenization devices to perform polymerizable miniemulsion dispersions with negligible heat generation from mixtures containing vinyl acetate as the monomer and high amounts of biocompatible viscous oils (Miglyol and vitamin E acetate) as the hydrophobic components. A triblock non‐ionic copolymer was used as surfactant. The size of the initial droplets was in the 100–300 nm range, increasing with the amount of the hydrophobe oil. These droplets have successfully been polymerized by using lauroyl peroxide or H2O2/ascorbic acid as initiators in order to get non‐charged primary radicals. Stable nanoparticles with sizes around 300 nm have been obtained that display colloidal stabilization at 4 and 25 °C upon a long storage time. 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".