Unilateral Cataracts: Is Successful Amblyopia Therapy Compatible with Binocular Vision?
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Two case studies are used to illustrate the importance of balancing the postsurgical achievement of high-level visual acuity with the acquisition of stereopsis in cases of unilateral cataract. Traditional management will be reviewed and limited occlusion therapy will be discussed. A structured occlusion regime that allows for increased binocular opportunity is promoted for use upon cataract removal. PATIENTS AND METHOD: Two cases are reviewed in which a unilateral cataract was removed and a full-time intensive patching schedule was followed. RESULTS: Both patients reviewed have no measurable depth perception and are bothered by intractable diplopia. CONCLUSION: Promoting good visual acuity in unilateral cataract management is the primary objective. Good visual acuity can be achieved with reduction of occlusion intensity in order to allow for some form of binocularity to develop, lowering the risk for strabismus and intractable diplopia.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".