Chitosan‐<i>g</i>‐polycaprolactone copolymer fibrous mesh scaffolds and their related properties
Bibliographic record
Abstract
Abstract Chitosan‐g‐polycaprolactone copolymers (CPCs) with desired composition proportions were synthesized by carefully controlling the weight ratio of polycaprolactone side chains changing approximately between 45 and 48 wt% so that the obtained CPCs could be further processed via different processing techniques. Aqueous acetic acid solutions and dimethyl sulfoxide were respectively employed as solvents to fabricate CPCs into fibrous mesh scaffolds that had nearly similar parameters characterized by the average porosity and pore‐size of scaffolds as well as the average diameter of filaments under optimal processing conditions. The swelling index, surface group analysis, antibacterial activity and tensile mechanical properties of these mesh scaffolds were investigated in several ways, and the scaffolds showed quite different properties due to the different processing methods employed, although the same type of CPC was used. Copyright © 2008 John Wiley & Sons, Ltd.
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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) | 0.001 | 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".