Injectable, Mixed Natural-Synthetic Polymer Hydrogels with Modular Properties
Bibliographic record
Abstract
A series of synthetic oligomers (based on the thermosensitive polymer poly(N-isopropylacrylamide) and carbohydrate polymers (including hyaluronic acid, carboxymethyl cellulose, dextran, and methylcellulose) were functionalized with hydrazide or aldehyde functional groups and mixed using a double-barreled syringe to create in situ gelling, hydrazone-cross-linked hydrogels. By mixing different numbers and ratios of different reactive oligomer or polymer precursors, covalently cross-linked hydrogel networks comprised of different polymeric components are produced by simple mixing of reactive components, without the need for any intermediate chemistries (e.g., grafting). In this way, hydrogels with defined swelling, degradation, phase transition, drug binding, and mechanical properties can be produced with properties intermediate to those of the mixture of reactive precursor polymers selected. When this modular mixing approach is used, one property can (in many cases) be selectively modified while keeping other properties constant, providing a highly adaptable method of engineering injectable, rapidly gelling hydrogels for potential in vivo applications.
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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".