Bibliographic record
Abstract
Many experimental approaches have been explored to produce hemostatically active novel human platelet products and substitutes capable of long‐term storage. These include: platelet storage in the frozen state: storage in the cold (4° C) in the liquid state; photochemical methods for the inactivation of viruses. bacteria and protozoa: infusible platelet membranes; and rehydrated lyophilized platelets. In addition to products using human platelets as their primary manufacturing source. other approaches have been used to make non‐platelet‐derived substitutes that might be capable of in vivo hemostasis. These include production of red blood cells, or liposomes, bearing hemostatically active agents on their surfaces; and fibrinogen‐coated albumin microcapsules or microspheres. The development of platelet substitutes is an increasing scientific and technological endeavor and there are many reasons to believe that platelet substitutes will become more efficacious and safer to use over time. Ultimately, such work will result in safe and effective platelet substitutes being available for clinical use in thrombocytopenic or other patients with increased risk for bleeding.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.035 | 0.017 |
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".