Bibliographic record
Abstract
Microparticles (MP) are vesicular structures released from cells upon activation, malignant transformation, stress, or death. MP may be derived from the plasma membrane (shed microvesicles), produced by endosomal pathway (exosomes), or arise from membrane blebs of apoptotic cells. The terms microparticles or microvesicles (MV) are often used as general and interchangeable descriptors of all cellular vesicles, but a more rigorous terminology is still to be established. The cargo of MP/MV consists of proteins, lipids, and nucleic acids (DNA, mRNA, microRNA), all of which may be transferred horizontally between cells. In cancer, oncogenic pathways drive production of MP/MV, and oncoproteins may be incorporated into the cargo of MV (oncosomes). Oncogenic pathways may also stimulate production of MP/MV harboring tissue factor and involved in cancer coagulopathy. In addition, the cargo of MV may include several receptors, antigens, bioactive molecules, and other species capable of stimulating tumor progression, immunotolerance, invasion, angiogenesis, and metastasis. MP emanate not only from tumor cells but also from platelets, endothelium, and inflammatory cells. Indeed, circulating MP/MV harbor molecular information related to cancer-related processes and may serve as a reservoir of prognostic and predictive biomarkers to monitor genetic tumor progression, angiogenesis, thrombosis, and responses to targeted therapeutics.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.004 |
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".