The Phaco Hemi-Flip: A Method of Lens Removal in Nuclei of Soft to Moderate Density
Bibliographic record
Abstract
Although endocapsular nuclear fragmentation chopping techniques have allowed surgeons to decrease the amount of dissipated phaco energy in the anterior chamber and improve lens removal efficiency when compared with previous techniques, chopping maneuvers carry a small risk of capsular and zonular injury. Furthermore, in softer lenses, chopping techniques may be limited in providing sufficient nuclear cracking. Additionally, with torsional phaco technologies, adequate lens purchase may be suboptimal and lead to inefficient chopping. Supracapsular phaco techniques improve capsular safety, but may be challenging in small pupil/capsulorrhexis cases and place the corneal endothelium and anterior chamber tissues at greater risk to trauma from ultrasound energy. The phaco hemi-flip technique combines the advantages of these two approaches with a single endocapsular quick chop, followed by phacoaspiration removal of each heminucleus in the iris plane without further chopping or segmentation.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".