Interface vitréomaculaire : Série de cas d’adhérence et de traction
Bibliographic record
Abstract
L’interface vitréomaculaire a toujours été difficile à évaluer sur le plan clinique. Cependant, avec l’avènement de la tomographie par cohérence optique, les pathologies à cette interface sont plus faciles à diagnostiquer et à surveiller. Les attaches de l’interface vitréomaculaire sont diverses, allant de l’adhérence sans changement de la structure fovéale, comme l’adhérence vitréomaculaire, aux tractions entraînant un changement de structure, comme la traction vitréomaculaire. Bon nombre de ces pathologies peuvent être observées et prises en charge par un optométriste sans consulter un spécialiste de la rétine. Cet article décrit trois cas de pathologie vitréomaculaire accompagnés d’un examen du système de classement, de présentations qui ont été associées à une incidence plus élevée de libération spontanée et d’options de traitement.
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.007 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".