Bibliographic record
Abstract
Abstract Heterogeneous polymerizations in aqueous media remain an active area of research with an emphasis on control over polymer architecture and molecular weight. Previously established methods to perform reversible deactivation radical polymerizations have been expanded and will be covered in this article. Recent strategies employ novel catalysts, functional surfactants, and multistep processes to yield stable, and in some cases, high solids content, latexes through a variety of nonconventional chemistries. Moreover, polymerization‐induced self‐assembly has been developed to yield high‐order morphologies in aqueous dispersions in mild conditions. Photoinduced polymerization techniques have seen increasing interest owing to the “green” benefits of using light as a stimulus for polymerization. The goals in this field remain to provide control over polymerizations in aqueous dispersed media while reducing both monetary and environmental costs. This article will cover recent developments in producing water‐based polymer dispersions with control over nanoparticle morphology and functionality and macromolecular structure.
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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) | 0.512 | 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".