Multiphasic Collagen Scaffolds for Engineered Tissue Interfaces
Bibliographic record
Abstract
Abstract Hard–soft tissue interfaces pose unique challenges for regeneration due to architectural, mechanical, and compositional changes between tissues, which are difficult to incorporate into tissue engineering scaffolds. Multiphasic scaffolds are needed to better mimic structural and chemical changes through the incorporation of layers with distinct properties. A particular challenge in the production of multilayered constructs is achieving cohesion between layers. Herein, a novel system is developed, which combines sequential collagen self‐assembly and diffusion gradients in mineralization to produce multiphasic collagen scaffolds that have intrinsic connectivity and porosity between layers, with no need for adhesives or heat treatments. The scaffolds incorporate mineralized layers, wherein the mineralized collagen fibrils have intrafibrillar oriented mineral resembling bone, alongside unmineralized layers. The interface between mineralized and unmineralized layers is sharp and well defined, with nonmineralized fibrils inserting into the mineralized layer to create mechanical interlock and cohesion. Inspired by the complex architecture of the periodontal attachment apparatus (bone–ligament–cementum), it is demonstrated that the model system can be applied to the development of a trilayered collagen scaffold with potential for periodontal regeneration.
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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 | 0.000 | 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) | 0.002 | 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 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".