Les nombreux visages de l’élargissement idiopathique aigu de la tache aveugle.
Bibliographic record
Abstract
Le présent article présente une recension des écrits et une série de cas rétrospective d’élargissement idiopathique aigu de la tache aveugle chez deux femmes de race blanche et un homme hispanique. Les con-statations les plus caractéristiques comprennent une photopsie unilaté-rale, un élargissement de la tache aveugle, la perte des zones ellipsoïde et d’interdigitation en tomographie par cohérence optique (TCO) et un ERGmf anormal. Il s’agit d’une maladie de la rétine externe qui partage des traits communs avec la rétinopathie occulte externe zonale aiguë (AZOOR), ce qui peut fausser le diagnostic. L’imagerie en autofluores-cence peut aider à différencier les conditions. La diffusion d’un plus grand nombre de rapports de cas décrivant différentes présentations de ce trou-ble de la rétine externe rare devrait aider à améliorer la compréhension clinique de ces affections.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".