Retinal Oximetry and blood flow
Bibliographic record
Abstract
Summary The retina has highest metabolic demand compared to any other tissue in the human body and regulation of the retinal blood flow, blood oxygen saturation (SO2) and thereby oxygen delivery (DO2) are crucial to preserve vision and function. The study reports inner retinal DO2 and consumption (VO2) during controlled and stable normoxia, hyperoxia and hypoxia in humans. Eleven subjects underwent measurement of total retinal blood flow (TRBF) and retinal blood oxygen saturation (SO2) using prototype methodologies of Doppler Spectral Domain Optical Coherence Tomography and Metabolic Hyperspectral Camera, respectively. TRBF decreased significantly (p = 0.010) from 43.17 μl/min (+12.7) to 36.23 μl/min (+4.6) during hyperoxia, conversely, TRBF increased significantly (p < 0.008) to 52.89 μl/min (+10.9) from baseline during hypoxia. The average inner retinal O2 delivery during normoxia was 8.48 mlO2/100 g/min and inner retinal consumption was 3.64 mlO2/100 g/min and these values changed during provocation to maintain a stable DO2 and VO2. Change in TRBF and SO2 reflect metabolic autoregulatory function of the retinal tissue indicating that retinal blood flow and SO2 are able to precisely compensate for changes in inspired oxygen.
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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) | 0.004 | 0.001 |
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".