Renal responses to severe haemorrhage in conscious lambs
Bibliographic record
Abstract
The role of the kidney in the physiological responses to severe degrees of haemorrhage beyond which compensatory mechanisms fail (>25% of vascular volume) has not been investigated in the newborn period. In this study, parameters of glomerular and tubular function were measured for 30 min before (Control, C) and 120 min after haemorrhage of 30% of vascular volume, in conscious, chronically instrumented lambs aged ~one (N=10) and ~six weeks (N=9). Renal plasma flow decreased 30 min after haemorrhage from 1.4±0.5 SD (C) to 0.7±0.2 mL.min −1 .g −1 at one week and from 1.6±0.4 (C) to 0.9±0.4 mL.min −1 .g −1 at six weeks and remained decreased at 120 min. Similarly, glomerular filtration rate decreased from 0.26±0.08 (C) to 0.18±0.14 mL.min −1 .g −1 at one week and from 0.31±0.08 (C) to 0.17±0.08 mL.min −1 .g −1 at six weeks, and remained below C at 120 min. Urinary flow rate also decreased from 3.8±1.6 (C) to 1.8±0.7 uL.min −1 .g −1 by 30 min after haemorrhage at one week and from 3.9±1.5 (C) to 2.2±0.8 uL.min −1 .g −1 at six weeks, and remained below C at 120 min. Clearances of Na + and K + also decreased after haemorrhage in both age groups. These data provide evidence that soon after birth, glomerular and tubular responses to severe blood loss are elicited, though they do not appear to be developmentally regulated. [Supported by the Canadian Institutes of Health Research.]
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".