Horner's syndrome, study of 32 cases from 1997 to 2002 in the Veterinary School of Alfort
Bibliographic record
Abstract
Le syndrome de Claude Bernard-Horner est un syndrome neurologique à manifestation ophtalmologique. Il se traduit cliniquement par un myosis, une enophtalmie, une ptose palpébrale, une procidence de la membrane nictitante, une hyperhémie conjonctivale, tous ces signes étant plus ou moins associés. Ce syndrome, dont l'étiologie est relativement variée, est dû à une paralysie du système sympathique cervical. Notre étude, portant sur 32 cas de syndrome de Claude Bernard-Horner observés à l'Ecole Nationale Vétérinaire de Maisons-Alfort entre 1997 et 2002, nous a permis de dégager quelques particularités de la maladie. Tout d'abord ce syndrome peut affecter des animaux de tous âges, avec une prédominance des adultes. L'étiologie principale chez le chat est l'otite alors que dans la majorité des cas, chez le chien, la cause est non identifiée : on parle de syndrome de Claude Bernard-Horner idiopathique. Concernant ce dernier, on note une prédisposition des races labrador et golden retriever. Enfin notre étude a montré l'importance d'utiliser un protocole standardisé pour l'identification du site lésionnel.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 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 | 0.000 |
| 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".