Relationship between Blood Gas Values and Hormonal Response to Acute Hypoxemia in Fetal Sheep
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
We examined the relationship of fetal plasma immunoreactive adrenocorticotropic hormone (IR-ACTH), arginine vasopressin (AVP) and cortisol to fetal arterial pO<sub>2</sub> (PaO<sub>2</sub>), oxygen saturation (SaO<sub>2</sub>), change (Δ) in PaO<sub>2</sub> (ΔPaO<sub>2</sub>) or SaO<sub>2</sub> (ΔSaO<sub>2</sub>) 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 PaO<sub>2</sub>, SaO<sub>2</sub> ΔPaO<sub>2</sub> and ΔSaO<sub>2</sub> by applying simple regression analysis. For IR-ACTH, a strong correlation was obtained with SaO<sub>2</sub>, ΔSaO<sub>2</sub> and ΔPaO<sub>2</sub> after log transformation to IR-ACTH. For AVP, strong correlation coefficients were obtained with ΔSaO<sub>2</sub>, SaO<sub>2</sub> ΔPaO<sub>2</sub> and PaO<sub>2</sub> after reciprocal transformation to AVP, but for cortisol a strong correlation was obtained only with ΔPaO<sub>2</sub> after log transformation to cortisol. We conclude that during fetal hypoxemia without acidemia, there is a strong correlation between IR-ACTH and SaO<sub>2</sub> ΔSaO<sub>2</sub>, ΔPaO<sub>2</sub> but not PaO<sub>2</sub>, between AVP and ΔSaO<sub>2</sub>, SaO<sub>2</sub>, ΔPaO<sub>2</sub> or PaO<sub>2</sub>, and between cortisol and ΔPaO<sub>2</sub>.
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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 | 0.001 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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