Synthesis of Carboxy-Functionalized Heterobifunctional Poly(ethylene glycol) by a Thiol-Anionic Polymerization Method
Bibliographic record
Abstract
Potassium n -butyl 3-thiolate-1-propionate (K−nBMP) and dipotassium 3-thiolate-1-propionate (K−MPA) initiated anionic polymerization of ethylene oxide (EO) to yield carboxy-functionalized poly(ethylene glycol)s (HOOC−PEG) with predicted number-average molecular weights ( M n up to 18 700) and narrow molecular weight distributions ( M w / M n ≤ 1.25, M w is weight-average molecular weight). Additional thiol-containing anionic initiators such as mercaptoacetic acid and 11-mercaptoundecanoic acid resulted in PEGs having bimodal molecular weight distributions. Evaluation of a series of carboxy-functionalized oxy(gen) anionic initiators revealed that only potassium 12-hydroxydodecanoate (K−HDA) allowed for controlled polymerization of EO and yielded polymers with a narrow molecular weight distribution. The efficiency of the anionic initiators is related to their nucleophilicity. The carboxy-functionalized PEGs were also employed as a macroinitiator for synthesis of α-carboxy−PEG- block -poly(ε-caprolactone) copolymers.
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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) | 0.002 | 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 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".