AVC hémorragique : diagnostic guidé par les résultats du champ visuel
Bibliographic record
Abstract
Ce rapport de cas porte sur un patient qui a subi un accident vasculaire cérébral hémorragique et qui s’est présenté au service de consultations ophtalmologiques avec une perte de champ visuel, que le patient a interprétée comme un trouble de la vue et un mal de tête grave. La perte de champ visuel a consisté en une hémianopsie incomplète homonyme accompagnée d’une défectuosité supérieure absolue qui correspondait bien à l’hémorragie du lobe temporal droit détectée par une tomodensitométrie de la tête. Ce cas expose l’importance pour tous les fournisseurs de soins oculovisuels de reconnaître les symptômes de l’AVC et de comprendre les délais et les protocoles de référence, ainsi que la valeur prédictive élevée des champs visuels.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".