The Use of Piers–Rubinsztajn Conditions for the Placement of Triarylamines Pendant to Silicone Polymers
Bibliographic record
Abstract
The use of Piers–Rubinsztajn conditions was explored for the synthesis of silicone polymers bearing pendant triarylamine functionality. We have found that up to 60% of the hydride groups of a silicone copolymer can be successfully substituted with a triarylamine moiety, without metathesis or redistribution of the silicone. The resulting polymers are hydrolytically stable. The functionalization procedure is straightforward, conducted under ambient conditions with a simple one-step work-up, and avoids the use of a metal-based catalyst. The resulting phenylated triarylamine–silicone hybrid polymer was characterized by optical absorption and fluorescence spectroscopy, CV, and differential scanning calorimetry. The hybrids maintain the physical appearance of a silicone polymer while adopting the photophysical and electrochemical characteristics of the triarylamine.
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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 | 0.001 | 0.001 |
| 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) | 0.002 | 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".