Non-penetrating deep sclerectomy for glaucoma surgery using the femtosecond laser: a laboratory model
Bibliographic record
Abstract
Non-penetrating deep sclerectomy (NPDS) is a non-perforating filtration procedure used for the surgical treatment of medically uncontrolled open angle glaucoma. This procedure was developed in an attempt to avoid many of the postoperative complications of trabeculectomy.1 The major advantage of NPDS is that it precludes the sudden hypotony that occurs after trabeculectomy by creating progressive filtration of aqueous humour from the anterior chamber to the subconjunctival space, without perforating the eye.2 Preservation of the thin trabeculo-Descemet’s membrane, however, is technically challenging, particularly before the surgeon gains experience with this procedure. Previous studies investigated the ability to use the femtosecond laser for photodisruption in the human sclera,3 4 and concluded that complete subsurface photodisruption can be accomplished in human sclera in vitro . Toyran et al. 5 in 2005 published their in-vitro study that tested the feasibility of using femtosecond laser pulses to fistulise the human trabecular meshwork and concluded that, with appropriate exposure time and pulse energy, femtosecond photodisruption can be employed to create partial …
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".