Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Self‐immolative linear polymers are a recently developed class of materials that typically undergo head‐to‐tail depolymerization in response to the cleavage of stimuli‐responsive end‐caps from their termini. These polymers have been inspired by self‐immolative dendrimers and oligomers that undergo cascades of cyclization and/or elimination reactions in response to the activation or cleavage of a trigger moiety. During the past decade, several backbones have been introduced including polycarbamates, polycarbonates, polythiocarbamates, polythiocarbonates, polyacetals, and poly(benzyl ether)s. These backbones have been tuned to control the depolymerization rate, and end‐caps responsive to stimuli including enzymes, light, heat, acid, and small molecules such as fluoride ions have been incorporated. They have been explored for the development of sensing devices, microcapsules, and nanoscale assemblies such as micelles and vesicles. In these applications, their depolymerization in response to end‐cap cleavage affords effective amplification of these stimuli, resulting in enhanced sensitivity. Their depolymerization kinetics has also been studied in detail. This article will review the development and current status of both the chemistry and application of linear self‐immolative polymers.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it