Adaptación pediátrica de prótesis ocular en microftalmia congénita
Bibliographic record
Abstract
Relevance: To highlight the role of the ocularist within our profession. This specific case was selected because the patient had not undergone evisceration and is in the pediatric age group, where self-perception plays a crucial role in personal, social, and emotional development. Purpose: To describe the complete process of measurement and fitting of an ocular prosthesis in a pediatric patient with congenital microphthalmia. Emphasis is placed on the psychological impact within the patient’s immediate environment, including both family and school settings. Case Report: A 7-year-old patient with unilateral congenital microphthalmia presents for renewal of their ocular prosthesis. The patient was referred by the Pediatric Ophthalmology Department of Miguel Servet Hospital for their first prosthetic fitting before the age of one. Given the continuous growth and development at this stage, the prosthesis must be regularly adjusted to accommodate the expansion of the orbital cavity, requiring close and ongoing monitoring by the ocularist. Following appropriate measurements, the patient is now benefitting from a new appearance that supports their ocular development. Conclusion: Multiple studies have demonstrated significant improvements in self-confidence and self-image following the fitting of an ocular prosthesis. This is particularly important during childhood, as it is a critical period for identity formation and the development of social skills.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".