Effect of Anticoagulant and Venipuncture Site on Hematology and Serum Chemistries of the Spiny Softshell Turtle (Apalone spinifera)
Bibliographic record
Abstract
ABSTRACT The effect of anticoagulant and venipuncture site on hematology and serum chemistries was evaluated in eight captive spiny softshell turtles (Apalone spinifera). Animals were randomly and evenly distributed into two groups. On day 0, blood samples were collected from the dorsal coccygeal vein in turtles from group 1 and from the subcarapacial vein in turtles from group 2. On day 15, the same procedure was repeated, but turtles from group 1 were sampled from the subcarapacial vein and turtles from group 2 from the dorsal coccygeal vein. Hematologic samples were placed in ethylenediaminetetraacetic acid (EDTA) on day 0 and in heparin on day 15. Samples for chemistries were placed in serum separator tubes. All samples in EDTA were hemolyzed. Nonparametric tests were used to assess significant differences in hematologic and biochemical parameters between the two venipuncture sites. Among the biochemical parameters, statistically significant differences were only present for glucose and potassium, with the median values being higher in samples obtained from the subcarapacial vein. Correlation tests did not show any significant correlation between the values obtained from the two venipuncture sites for any of the biochemical parameters evaluated. There was also a general lack of agreement for values obtained from different venipuncture sites. This study concluded that EDTA is not an appropriate anticoagulant for this species, and serum chemistry values from paired samples taken using different venipuncture sites did not have a significant correlation or agreement.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".