Ciliary Sulcus Diameter Measurements in Normal Adult Filipino Eyes Using Ultrasound Biomicroscopy
Bibliographic record
Abstract
Objective: To measure the ciliary sulcus diameters (CSD) in phakic eyes of adult Filipinos using ultrasound bio-microscopy (UBM). Methods: This was an observational, cross-sectional study involving Filipino patients recruited from the Outpatient Department of Makati Medical Center, Philippines from September 2006 to December 2006. Vertical and horizontal CSDs in phakic eyes were measured using a UBM Scan 1000 (Ophthalmic Technologies Inc., Toronto, Ontario, Canada). Three repeated measurements of each meridian were taken and averaged. The average CSD for each eye was computed as the average of the horizontal and vertical CSDs. Student’s t-test was used to analyze data. Results: Seventy-one (71) patients (142 eyes) were included in the study. Mean CSD measurements were as follows: horizontal CSD = 9.76 ± 0.42 mm; vertical CSD = 10.00 ± 0.48 mm; average CSD = 9.88 ± 0.47 mm. There was a significant difference between the means of the vertical and horizontal CSD measurements (P<0.01). There was no significant difference in the mean CSD measurements of the right and left eyes (P= 0.50). Conclusions: In this cohort of adult Filipino patients, the UBM-measured vertical CSD is significantly greater than the horizontal CSD. Establishment of CSD measurements of adult Filipino eyes may be helpful in selecting appropriately-sized intraocular lenses for ciliary sulcus implantation.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.001 | 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 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".