Refractive Aspect of Cataracts – Towards Customisation
Bibliographic record
Abstract
Currently, posterior chamber intraocular lenses (IOLs) correct totally or partially spherical aberrations. In this article we present the visual results of a prospective multicentre study evaluating the Micro AY IOL correcting 0.11μm of spherical aberration, which is a good compromise between optimal vision and a consistent depth of focus. We evaluated 124 eyes that were operated on using bi-manual micro-cataract surgery (BiMICS: 75%) or co-axial micro-cataract surgery (CoMICS: 25%) phacoemulsification with insertion of a Micro AY IOL through a 1.8–2.2mm incision. Mean post-operative best corrected visual acuity was 0.97±0.25; pre-operative spherical aberrations were +0.24±0.13μm, and reached +0.10±0.11μm post-operatively. There were no complications due to the lens, and photopic contrast sensitivity reached high levels.
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How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".