Bibliographic record
Abstract
Cylindrical deficits in patients with corneal astigmatism of 0.50 diopter (D) to 1.00D may influence visual acuity. Increasing age and cataract surgery are correlated with greater prevalence and extent of corneal astigmatism. Conventionally, spectacles and contact lenses have been used to improve or correct corneal astigmatism. However, increasing demand for freedom from spectacles for distance vision and high prevalence of pre-existing corneal astigmatism in cataract patients have forced cataract surgery for the correction of aphakia and pre-existing corneal astigmatism to become common practice. However, implantation of toric intraocular contact lenses (IOLs) into the eye during cataract surgery may be a more predictable, powerful, and stable way of correcting pre-operative corneal astigmatism and may provide an adjunct or alternative to spectacles or relaxing incisions. Early toric IOLs were associated with post-operative rotational stability, lens misalignment, and safety concerns. The use of the new AcrySof® IQ Toric IOL for the correction of aphakia and pre-existing corneal astigmatism has largely mitigated these concerns. In addition, the AcrySof® IQ Toric IOL may also replace other treatment options for correcting pre-existing corneal astigmatism in patients undergoing cataract 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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.002 | 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".