Pharmacokinetics of ceftiofur crystalline free acid after single subcutaneous administration in lactating and nonlactating domestic goats (<i>Capra aegagrus hircus</i>)
Bibliographic record
Abstract
Six nonlactating and six lactating adult female goats received a single subcutaneous injection of ceftiofur crystalline free acid (CCFA) at a dosage of 6.6 mg/kg. Blood samples were collected from the jugular vein before and at multiple time points after CCFA administration. Milk samples were collected twice daily. Concentrations of ceftiofur and desfuroylceftiofur-related metabolites were measured using high-performance liquid chromatography. Data were analyzed using compartmental and noncompartmental approaches. The pharmacokinetics of CCFA in the domestic goat was best described by a one compartment model. Mean (±SD) pharmacokinetic parameters were as follows for the nonlactating goats: area under the concentration time curve(0-∞) (159 h·μg/mL ± 19), maximum observed serum concentration (2.3 μg/mL ± 1.1), time of maximal observed serum concentration (26.7 h ± 16.5) and terminal elimination half life (36.9 h; harmonic). For the lactating goats, the pharmacokinetic parameters were as follows: area under the concentration time curve(0-∞) (156 h·μg/mL ± 14), maximum observed serum concentration (1.5 μg/mL ± 0.4), time of maximal observed serum concentration (46 h ± 15.9) and terminal elimination half life (37.3 h; harmonic). Ceftiofur and desfuroylceftiofur-related metabolites were only detectable in one milk sample at 36 h following treatment. There were no significant differences in the pharmacokinetic parameter between the nonlactating and lactating goats.
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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 | 0.000 | 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".