UPDATE ON PLATELETS Preparation and Administration
Bibliographic record
Abstract
Platelets can be prepared as random-donor platelet concentrates from whole blood derived platelets or as apheresis platelets from a single donor. In the whole blood harvest method, 500 mL of blood is collected and stored in a citrate preservative at room temperature.i Within eight hours, the blood is centrifuged with a slow spin and the platelet-rich plasma (PRP) is separated into an attached empty satellite bag. This PRP is centrifuged again with a fast spin and separated into one unit of platelet concentrate and one unit of plasma. Each unit of platelets contains 5.5 x 10 10 platelets in 50 to 70 mL of plasma (to maintain the pH at>6.2) and 4 to 10 units of platelets are usually pooled together in a single component bag. Alternatively, platelets can be isolated from whole blood from the buffy coat layer, following centrifugation of whole blood in specific bags that removes RBC and plasma through tubings in the bottom and top of the bag. The platelet-enriched buffy coat is further processed (through centrifugation and/or leuko-reduction filters) to eliminate WBCs and remaining RBCs. This method is currently employed in Europe and Canada and it permits storage of whole blood at room temperature for up to 24 hours prior to platelet harvesting and provides some other potential advantages. Apheresis platelets, or single donor platelets are obtained by performing apheresis on volunteer donors. During this procedure, large volumes of whole blood are processed into an extracorporeal circuit and centrifuged to separate the components. The red blood cells and a certain percentage of the plasma are returned to the donor. A single donor on apheresis donates the equivalent of> 3.0 x
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.029 | 0.036 |
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".