Blood concentrations of<scp>d</scp>‐ and<scp>l</scp>‐lactate in healthy rabbits
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: To determine whole blood and serum concentrations of l-lactate and serum concentrations of d-lactate in healthy rabbits and compare three methods of analysis for l-lactate measurement. METHODS: Prospective study using 25 rabbits. Concentrations of whole blood l-lactate were measured using a portable analyser and a blood gas analyser. The remainder of the sample was allowed to clot for centrifugation. Serum was stored at -20°C for determination of l- and d- lactate by high-performance liquid chromatography. RESULTS: d-lactate values by high-performance liquid chromatography were 0 · 17 ± 0 · 08 mmol/L. l-lactate values were 5 · 1 (±2 · 1) mmol/L by high-performance liquid chromatography, 6 · 9 (±2 · 7) mmol/L with the portable analyser and 7 · 1 (±1 · 6) mmol/L with the blood gas analyser. No significant difference (P > 0 · 05) was found between the two analysers. Significant difference existed between serum l-lactate values obtained by high-performance liquid chromatography and the whole blood values obtained with the blood gas analyser (P < 0 · 01) and portable analyser (P < 0 · 05). CLINICAL SIGNIFICANCE: Serum concentrations of d-lactate in healthy rabbits are in the range of those of other mammals. l-lactate values in healthy rabbits are higher compared with other mammals. Good correlation was found between the portable and blood gas analysers for whole blood l-lactate measurement in healthy rabbits.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 it