A novel non‐invasive wearable sensor for intraocular pressure measurement
Bibliographic record
Abstract
Abstract Glaucoma is a chronic eye disease where an increase in intraocular pressure (IOP) permanently damaging the optic nerve leading to irreversible vision loss. Intraocular pressure is the main factor for monitoring the progression of glaucoma and has been found to fluctuate throughout the day. A continuous monitoring system can track the fluctuations in the intraocular pressure throughout the day, improving the management of the disease. A novel non‐invasive wearable sensor was created to monitor the fluctuating corneal curvature of the eye and directly relate the deformation to the intraocular pressure. The wearable sensor was able to capture on average 40.8 µm/mmHg with a standard deviation of 29.4 in fluid location per increase in intraocular pressure with an ability to return over 80% back to its original position indicating a good ability to accurately track the fluctuations in the IOP.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".