Quantification of aerosol generation during cataract surgery
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
PURPOSE: To determine whether phacoemulsification cataract surgery is an aerosol-generating medical procedure (AGMP) and, therefore, to help determine the personal protective equipment required by healthcare providers in the era of the COVID-19. SETTING: The Surgery, Teaching and Research Wet Lab of the Department of Ophthalmology and Visual Sciences, Faculty of Medicine, UBC. DESIGN: Laboratory-based simulation. METHODS: Phacoemulsification cataract surgery was performed on porcine eyes. At a fixed distance, a DRX Aerosol Monitor 8534 (DustTrak) was used to measure particulate matter (PM) mass fractions for each of 3 particle sizes, PM1, PM2.5, and PM4 (in microns), every 2 seconds during surgery and for 1 minute after. The main outcome measure was an increase in the mass fraction of aerosolized particles of various sizes. RESULTS: There was no significant aerosolization of particles during cataract surgery for both the 2.4 and 2.75 mm wound sizes. CONCLUSIONS: Phacoemulsification cataract surgery was not found to be an AGMP. In the midst of the COVID-19 pandemic, ophthalmologists can continue to use droplet precautions while performing this surgery.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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