Anisotropic three-dimensional peptide channels guide neurite outgrowth within a biodegradable hydrogel matrix
Bibliographic record
Abstract
The objective of this study was to investigate the neurite guidance potential of concentration gradients of glycine-arginine-glycine-aspartic acid-serine (GRGDS) oligopeptides immobilized within three-dimensional patterned cylindrical volumes created in a biodegradable nerve guidance matrix. This was achieved using ultraviolet (UV) laser micropatterning of a hyaluronan (HA) hydrogel matrix modified with S-2-nitrobenzyl cysteine. Upon exposure to focused laser light, the 2-nitrobenzyl group was cleaved, exposing thiol groups which reacted with maleimide-terminated GRGDS exclusively within these laser-defined volumes. We show that the UV laser micropatterning technique can be used to create GRGDS peptide concentration gradients within the oligopeptide channels and that these channels guide neurite outgrowth from primary neural cells.
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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 | 0.000 | 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) | 0.000 | 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".