MORPHOMETRIC PARAMETERS OF ERYTHROCYTES IN SEVERAL RODENTIA SPECIES
Bibliographic record
Abstract
Red blood cells (RBC) play a leading role in the blood gas transport function and oxygen supply to tissues, and the number and size of RBC have a decisive role in tissue oxygenation. The size of erythrocyte varies significantly among animal species, depending on a number of factors. Data on the effect of various factors (living conditions, lifestyle, systematic affiliation, body weight) on the size of RBC are contradictory. The choice of mammals belonging to the Rodentia order was dictated by their very extensive distribution range and ecological features. A comparative study of the morphometric parameters (surface area and diameter) of RBC was performed for 11 Rodentia species: European beaver ( Castor fiber ), Canadian beaver ( C. canadensis ), nutria ( Myocastor coypus ), muskrat ( Ondatra zibethicus ), rat ( Rattus norvegicus ), chinchilla ( Chinchilla lanigera ), red squirrel ( Sciurus vulgaris ), bank vole ( Myodes glareolus ), European water vole ( Arvicola amphibius ), laboratory mouse ( Mus musculus ) and Syrian hamster ( Mesocricetus auratus ). A direct dependence of the size of erythrocytes on body weight was established, which agrees with the data reported by other researchers. The maximum size of RBC was noted in C. canadensis and C. fiber . Besides, large erythrocytes were detected in all the studied semiaquatic animals. The surface area of erythrocytes in terrestrial rodent species decreased in the following order: C. lanigera – R. norvegicus – S. vulgaris – M. musculus – M. glareolus. The influence of physiological (weight, sex, longevity) and ecological factors (food habits and habitat) on the morphometric parameters of erythrocytes was revealed, while systematic affiliation did not affect cell size.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".