Influence of Poly(ethylene glycol) Structure in Catalytic\nMacrocyclization Reactions
Bibliographic record
Abstract
The first evaluation of the structural\neffects of six different poly(ethylene glycol) (PEG)-derived polymers\nin MeOH mixtures on their aggregation abilities, ability to control\ndilution effects, and catalysis has been performed through examining\nsurface tension measurements and the isolated yields of a model Glaser–Hay\nmacrocyclization reaction of diyne <b>3</b>. Three different\nstructural effects were studied involving (1) the presence of capping\ngroups on the terminal hydroxyl functionalities of the polymers, (2)\nthe length of the polymer chain, and (3) the effects of branching\nalkyl groups in the polymer backbone. The data obtained provides important\nguidelines for conducting macrocyclizations using PEG/solvent mixtures,\nsuggesting that macrocyclizations are most efficient at high ratios\nof PEG/MeOH and when employing medium-length lipophilic branched poly(propylene\nglycol) (PPG) polymers. In particular, the use of PPG bearing terminal\nuncapped hydroxyl groups allows for a significant reduction in the\ncatalyst loading. The macrocyclization studies reinforce that the\naggregation characteristics of PEG-derived solvents can be harnessed\nin catalysis, particularly in reactions in which control of concentration\neffects is important.
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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 | 0.004 |
| 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) | 0.145 | 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".