Data characterizing a panel of biodegradable cross-linked polyester implants for sustained delivery of an anti-viral drug
Bibliographic record
Abstract
Tenofovir alafenamide (TAF) is currently administered orally to patients for treatment of chronic hepatitis B virus infection and as a part of a combination therapy for human immunodeficiency virus (HIV) infection. A long-acting delivery system could provide several advantages as a formulation strategy for this drug including improved patient adherence, convenience, more consistent drug levels and potentially fewer side effects. To date, the vast majority of polymer-based long-acting delivery systems have been prepared from poly(lactide- co -glycolide) [ 1 ]. To expand the range of polymers available for use, cross-linkable allyl functionalized, polyester copolymers were considered for preparation of disc-shaped, implantable delivery systems for TAF. The physico-chemical properties of the implants were evaluated including thermal and spectral properties as well as in vitro stability. Subsequently the discs were loaded with TAF via a swelling-equilibrium approach and the discs were further characterized including, TAF loading and in vitro drug release. This dataset shows the potential of using these polymeric materials as a sustained delivery platform for TAF. The dataset is freely available on Mendeley Data.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".