Realizing associated evolution courses: The co-evolution in the artificial world of manufacturing
Bibliographic record
Abstract
This study describes the use of a set of protein-based biomaterials that allow us to explore the mechanism of cell-mediated 3-D invasion associated with peripheral nerve regeneration. Hydrogels made from poly(ethylene glycol) (PEG) conjugated extracellular matrix proteins, including fibrinogen, gelatin and albumin were compared in their ability to support the neurite extension and glial cell migration from dorsal root ganglion (DRG) as compared to PEG only hydrogel controls. The synthetic polymer in the system provides a cross-linked network with controlled mechanical properties and degradation, whereas the protein components provide the unique extracellular matrix (ECM) for controlling neuronal cell morphogenesis. A range of hydrogel compositions were found to support DRG cell outgrowth, based on the mechanical properties, density and proteolytic degradation of the matrix. The 3-D invasion and morphogenesis of newly grown neurites and glial cells in the different materials were characterized and correlated to the properties of the scaffolds. The DRG cell outgrowth was highly correlated with the density of different hydrogel compositions.
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.
How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 teacher head, 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".