Müller Muscle Conjunctival Resection: A Multicentered Prospective Analysis of Surgical Success: Erratum
Bibliographic record
Abstract
In the prepublished version of the article, Table 1 contained an error: The number of “Male” and “Female” participants listed was switched. The number of female participants was recorded as 46 (30.3%) and male participants, 106 (69.7%). In Table 2, alignment discrepancies were present. Both corrected tables appear below. TABLE 1. - Demographics and past ocular history of participants Characteristic N (%) Sex Female 106 (69.7%) Male 46 (30.3%) Race White/Caucasian 110 (72.4%) Asian 10 (6.6%) Hispanic and Latino 21 (13.8%) Black/African Canadian 4 (2.6%) Other 7 (4.6%) History of previous ptosis surgery Yes 9 (5.9%) No 143 (94.1%) History of previous intraocular surgery Yes 29 (19.1%) No 123 (80.9%) Mechanism of ptosis* Involutional 127 (83.6%) Congenital 6 (3.9%) Traumatic 12 (7.9%) Disease-specific Myasthenia gravis 2 (1.3%) Oculopharyngeal muscular dystrophy 2 (1.3%) Horner’s 2 (1.3%) Human immunodeficiency virus 1 (0.7%) Floppy eyelid syndrome 5 (3.3%) Contact lens wear Yes 16 (10.5%) No 136 (89.5%) Daily use of topical eye drops Yes 58 (38.2%) No 94 (61.8%) *Note that 4 patients had a combination of mechanisms underlying ptosis. TABLE 2. - Preoperative, intraoperative, and postoperative measures of the operated eyelid Mean (SD) Min Max Preoperative measures MRD1 prephenylephrine (mm) 0.76 (0.89) –2 4 MRD1 postphenylephrine (mm) 2.96 (1.07) 0.5 6 Change in MRD1 with phenylephrine (mm) 2.23 (0.98) –1.5 5.5 Levator excursion/function (mm) 14.48 (2.15) 4 20 Intraoperative measures Tissue resection length (mm) 9.43 (1.83) 6 14 Postoperative measures MRD1 3 months postoperative (mm) 2.98 (1.18) –1 5.5 MRD1, marginal reflex distance-1.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".