Functional amphiphilic oligo(ethylene oxide) methacrylate‐based block copolymers: synthesis by an activator regenerated by electron transfer process for atom transfer radical polymerization and aqueous micellization
Bibliographic record
Abstract
Abstract Well‐defined amphiphilic block copolymers (ABPs) consisting of poly(oligo(ethylene oxide) monomethyl ether methacrylate) (POEOMA) and poly(tert‐butyl methacrylate) (PtBMA) were successfully synthesized using an activator regenerated by electron transfer (ARGET) process for atom transfer radical polymerization (ATRP). Two synthetic routes starting from the synthesis of either PtBMA or POEOMA macroinitiators followed by chain extension with the alternate monomer were examined. The results from a kinetic investigation suggest that both ARGET ATRP of OEOMA and subsequent chain extension with tBMA proceed in a living manner, yielding functional POEOMA‐block‐PtBMA ABPs in the presence of various functional initiators. As a preliminary evaluation for a polymer‐based drug delivery system, the functional ABPs were examined for aqueous micellization through self‐assembly that allows for the preparation of colloidally stable micellar aggregates with various corona morphologies. For flower‐like micelles bearing disulfide linkages in the center of hydrophilic loops, the reductive cleavage of the disulfide linkages enables a facile conversion to thiol‐decorated micelles without a measurable change in particle size. © 2013 Society of Chemical Industry
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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 | 0.000 |
| 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".