In Vivo Degradation Behavior of Photo-Cross-Linked <i>star</i>-Poly(ε-caprolactone-<i>c</i><i>o</i>-<scp>d</scp>,<scp>l</scp>-lactide) Elastomers
Bibliographic record
Abstract
We have recently reported on the preparation of biodegradable elastomers through photo-cross-linking acrylated star-poly(epsilon-caprolactone-co-D,L-lactide). In this paper we assess the change in their physical properties during in vivo degradation in rats after subcutaneous implantation over a 12 week period. These parameter changes were compared to those observed in vitro. Two different cross-link densities were examined, representing the range from a high Young's modulus to a low Young modulus. Elastomers having a high cross-link density exhibited degradation behavior consistent with a surface erosion mechanism, and degraded at the same rate in vivo as observed in vitro. Young's modulus and the stress at break of these elastomers decreased linearly with the degradation time, while the strain at break decreased slowly. Elastomers having a low cross-link density exhibited a degradation mechanism consistent with bulk erosion. Young's modulus and the stress at break of these elastomers decreased slowly initially, followed by a marked increase in mechanical strength loss after 4 weeks. The elastomers were well tolerated by the rats over the 12 week period in vivo.
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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) | 0.001 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".