Estimation of minimum centrifugation time of microhematocrit tubes to obtain accurate results of packed cell volume and total solids in donkeys, dogs, sheep, and cows
Bibliographic record
Abstract
To date, the minimum centrifugation times of microhematocrit tubes of blood to generate accurate PCV and total solids (TS) results have not been validated in veterinary medicine. We collected blood samples from 44 donkeys, 43 dogs, 61 sheep, and 40 cattle. We centrifuged microhematocrit tubes for 1, 2, 3, 5, and 15 min in donkeys and dogs, and 1.5, 3, 5, 10, and 15 min in ruminants. We evaluated the agreements between PCV and TS values at each time of centrifugation with the reference values at 15 min using intra-class coefficients of correlation and linear regressions. Finally, we considered the symmetrical distribution of differences between results obtained at each time of centrifugation and the reference values. We found that microhematocrit tubes centrifuged for a minimum of 3 min in donkeys and dogs, 10 min in sheep, and 5 min in cattle gave PCV and TS results in agreement with the values obtained after 15 min of centrifugation. The centrifugation time for cattle was shorter than currently advised. However, because PCV values of all cattle and most donkeys enrolled were within RIs and because no polycythemic animals were included, validation of these times may be warranted.
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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 | 0.010 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".