OC01.03: <sup>*</sup>Relationship between oxygen saturation and blood flow distribution in the late gestation human fetus by <scp>MRI</scp>
Bibliographic record
Abstract
To identify the relationship between cerebral, pulmonary and umbilical blood flow with arterial oxygen saturations in normal and IUGR fetuses using MRI. Fetal O2 saturation and blood flow in the major vessels were measured using phase-contrast MRI with metric optimised gating and T2 mapping according to our previously published technique. IUGR patients were identified based on a composite score of prenatal Doppler, placental histopathology and neonatal anthropometric indices. Statistical analysis was performed using SPSS to produce fitted models for the correlations between arterial O2 saturation and blood flow. 56 human fetuses (9 IUGR and 47 normal) were studied during late gestation. Cerebral blood flow increased with lower ascending aorta O2 saturation. The figure illustrates the relationships between blood flow in the superior vena cava (SVC flow) with oxygen saturation in the ascending aorta, AAoSaO2 (R = 0.45; P < 0.0001); pulmonary blood flow (PBF) was negatively correlated with oxygen saturation in the main pulmonary artery, MPASaO2 (R = 0.192; P = 0.004); umbilical vein blood flow (UV flow) was inversely proportional to umbilical vein oxygen saturation, UVSaO2 (R = 0.117; P = 0.010). Supporting information can be found in the online version of this abstract Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.052 | 0.006 |
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".