Blood Cell Morphology, Some Hematological and Serum Biochemistry Values of Common Kestrel (Falco tinnunculus)
Bibliographic record
Abstract
In this study, morphological characteristics of peripheral blood cell, and certain hematological and serum biochemistry values were determined in 16 clinical healthy adult common kestrels in order to establish normal reference values for this population. Seven different types of blood cells were determined, such as erythrocytes, thrombocytes, big lymphocytes, monocytes, heterophils, basophils, small lymphocytes. According to the results, hematology of red blood cell counts, white blood cell counts, hemoglobin, packed cell volume, mean corpuscular hemoglobin (MCH), mean cell volume (MCV), mean corpuscular hemoglobin concentration (MCHC) were 2.47±0.55×1012/L, 6.02±1.42×109/L, 124.6±16.74g/L, 39.94±3.84%, 523.01±119.49pg, 523.01±119.49fl, 314.29±48.80%. The results showed that serum biochemistry concentration of uric acid, total protein, albumin, alkaline phosphates were 2.22±0.68 nmol/L, 6.94±0.61g/L,4.91±0.44g/L, 10.17±2.93mg%. And, the different counts of leukocytes in the peripheral blood of clinical healthy common kestrel were determined as follows as 49.80±1.03% heterophils, 43.80±5.44% lymphocytes, 1.80±1.48% monocytes, 0.00±0.00% eosinophils, 3.60±1.24% basophils. These hematology and serum biochemistry values can be used as standard profiles for healthy adult common kestrel in captivity.
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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".