Long‐term visual pathology in children with significant perinatal complications
Bibliographic record
Abstract
Eye research in infants who experience significant perinatal complications has been restricted to evaluation of structural ocular disease and spatial vision, and results show that these aspects of vision are at increased risk for abnormal or delayed development. To expand upon previous work, a battery of 17 vision tests was employed to assess, comprehensively, long‐term outcome of functional vision. Seventy‐six children (38 males, 38 females), between the corrected ages of 2 years 11 months and 10 years 2 months (mean 6y 6mo) with various significant complications (e.g. very preterm birth, bronchopulmonary dysplasia, intraventricular hemorrhage) were compared to normally developing, age‐matched control children (n=61; mean age 7y 1mo) on measures of visual acuity, contrast sensitivity, stereoacuity, peripheral vision, color vision, astigmatism, and binocular alignment. Results showed that at‐risk children had more test results that fell within the suspect or abnormal range. At‐risk children also had a slightly higher incidence of ocular disorders (e.g. strabismus) and refractive error. These data imply that children who experienced significant perinatal risk factors are at risk for long‐term deficits of functional vision. However, most of these deficits appear to be relatively mild.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".