In Situ Use of Aqueous RAFT Prepared Poly(2‐(diethylamino)ethyl methacrylate) as a Stabilizer for Preparation of CO<sub>2</sub> Switchable Latexes
Bibliographic record
Abstract
Poly(2‐(diethylamino)ethyl methacrylate) (PDEAEMA) macroinitiator is prepared in water by aqueous reversible addition–fragmentation chain transfer (RAFT) polymerization under CO2 atmosphere, and then used directly as a stabilizer in emulsion polymerization, without requiring further purification, to yield CO2‐switchable latexes of poly(methyl methacrylate) (PMMA) and polystyrene (PS). Chain extension of the PDEAEMA macroinitiator with styrene (S) leads to the in situ formation of poly(DEAEMA‐b‐S) diblock copolymers in a one‐pot process. The final latexes are pH and CO2‐responsive and can be coagulated by N2 bubbling and subsequently redispersed by CO2 bubbling. The effects of various parameters on the latex properties are investigated, including pH, concentration of macro‐RAFT agent, using MMA as comonomer and initiator concentration. The results show that replacing only 5 mol% MMA in emulsion polymerization of styrene eliminates the induction time and also has a significant influence on the particle size distribution. 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) | 0.001 | 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".