Haptic tuck for reverse optic capture of a single-piece acrylic toric or other single-piece acrylic intraocular lenses
Bibliographic record
Abstract
We describe a new technique for capsule fixation of 1-piece acrylic toric intraocular lens (IOL) or other 1-piece acrylic IOLs in the presence of a large posterior capsule tear resulting in an open capsule. To keep the thick haptics out of the sulcus, reverse optic capture is necessary, with the haptics below the capsule and the optic edges above the capsule. This is done by placing the IOL in the sulcus and if it is a toric IOL, with the toric marks on the optic aligned with the corneal marks. Then, each haptic is separately tucked through the anterior continuous curvilinear capsulorhexis (CCC) opening, leaving the optic edges above the capsule. This technique achieves reverse optic capsulorhexis capture without the challenge of injecting the IOL through the CCC with an open posterior capsule. We propose the term haptic tuck for reverse optic capture for this technique.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".