Nitroxide‐Mediated Polymerization
Bibliographic record
Abstract
Abstract Nitroxide‐mediated polymerization (NMP) has been studied abundantly in the past three decades. There are several very good and recent reviews on the topic available in the literature. Although in this article we provide an overview on the research efforts focused on the polymer chemistry of NMP, our emphasis is placed on research aspects of NMP from a polymer reaction engineering perspective. Namely, we emphasize the use of engineering tools (such as mathematical modeling) on the design, analysis, and control of NMP processes (process engineering) and the well‐defined microstructures obtained by NMP (product engineering). These aspects are not sufficiently discussed or even included in previous reviews on NMP. Despite of all the intensive research programs carried out in academia and industrial research centers over 30 years, there are still several issues that limit the commercial exploitation of NMP. These issues, which include slow polymerization rates, reduced amount of monomers amenable for polymerization by NMP, low molecular weights, and insufficient commercial availability of NMP controllers, are also discussed.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".