Three Dimensional Hydrogel Scaffolds and Applications in the CNS
Bibliographic record
Abstract
Many of the on-going challenges in regenerative medicine rely on understanding the cellular microenvironment sufficiently to create biomimetic structures that influence cell fate. We are particularly interested in guiding cell growth and differentiation within defined three-dimensional scaffolds where the cellular microenvironment can be tuned to achieve the desired cellular response. To this end, we are examining three-dimensional, chemically patterned hydrogel scaffolds for guided cell growth and differentiation using immobilized peptides and growth factors [1]. Cell-cell interactions are key to the cellular microenvironment and, to better understand retinal stem cell niche, we investigated the co-culture of retinal stem cells with endothelial cells, where we found a symbiotic relationship [2]. We have advanced the design of the hydrogel scaffold to control its physical, mechanical and chemical properties [3], which will influence cell migration and differentiation. Acknowledgments Natural Sciences and Engineering Research Council (NSERC), Canadian Institute of Health Research (CIHR).
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".