Modelling and experimental investigation of ARGET/AGET atom transfer radical polymerization systems
Bibliographic record
Abstract
Activators Generated by Electron Transfer (AGET) and Activators Regenerated by Electron Transfer (ARGET) Atom Transfer Radical Polymerization (ATRP) are emerging topics within the polymerization field. These techniques allow for better control over polymer structure and polymer size distributions than conventional polymerizations. However, investigations into these processes are lacking, especially from a modelling point of view. Therefore, a kinetic model of the ARGET ATRP of butyl methacrylate (BMA) in a solution medium and Hybrid Monte Carlo model of the AGET ATRP of butyl acrylate (BA) in a dispersed system were developed and compared with data. In addition, an experimental investigation of the AGET ATRP of BA was carried out to study the kinetic aspects of this polymerization. The results of these studies demonstrate that both models have relatively strong predictive powers, and that different kinetic regimes appear to be available within the dispersed system studied experientially.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".