Recommendations for Studying <i>In Situ</i> Extracellular Vesicles From Solid Tissue
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Solid tissue-derived extracellular vesicles (ST-EVs) are extracellular vesicles (EVs) separated directly from solid tissues of both vertebrates and invertebrates. ST-EVs provide a physiologically relevant snapshot of tissue-specific molecular dynamics and can be enriched directly in situ, from tissues in their natural state, preserving the native characteristics of ST-EVs. However, their enrichment presents unique technical challenges compared to EVs derived from biofluids or cell culture media. The need for transparent reporting in ST-EV research is crucial to enhance the reproducibility, comparability, and reliability of research findings. The Solid Tissue Task Force, part of the Scientific Reproducibility Subcommittee of International Society for Extracellular Vesicles, aims to recommend reporting parameters and identify outstanding questions related to the pre-analytical and analytical handling of solid tissues, as well as ST-EV separation and characterization. These steps are essential for advancing the understanding of the biological roles of ST-EVs and their potential clinical applications.
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.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it