Relationship between Blood Gas Values and Hormonal Response to Acute Hypoxemia in Fetal Sheep
Bibliographic record
Abstract
We examined the relationship of fetal plasma immunoreactive adrenocorticotropic hormone (IR-ACTH), arginine vasopressin (AVP) and cortisol to fetal arterial pO2 (PaO2), oxygen saturation (SaO2), change (delta) in PaO2 (delta PaO2) or SaO2 (delta SaO2) in fetal sheep at 125-139 days of gestational age. Fetal sheep were exposed to two levels of hypoxemia induced by altering the inspired percent oxygen to the mother for 1 h without fetal acidemia. Fetal carotid arterial IR-ACTH, AVP and cortisol concentrations during hypoxemia were correlated with fetal PaO2, SaO2, delta PaO2 and delta SaO2 by applying simple regression analysis. For IR-ACTH, a strong correlation was obtained with SaO2, delta SaO2 and delta PaO2 after log transformation to IR-ACTH. For AVP, strong correlation coefficients were obtained with delta SaO2, SaO2, delta PaO2 and PaO2 after reciprocal transformation to AVP, but for cortisol a strong correlation was obtained only with delta PaO2 after log transformation to cortisol. We conclude that during fetal hypoxemia without acidemia, there is a strong correlation between IR-ACTH and SaO2, delta SaO2, delta PaO2 but not PaO2, between AVP and delta SaO2, SaO2, delta PaO2, or PaO2, and between cortisol and delta PaO2.
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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 | 0.001 |
| 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".