Bibliographic record
Abstract
Epilepsy affects 1-2 % of the population. For 30 % of these patients, their syndrome will be refractory to medical treatment. To improve our understanding and treatment of the epilepsies, we need to develop clinically relevant animal models. As temporal lobe epilepsy is often preceded by prolonged febrile seizures and in our population associated with a focal cortical dysplasia, we hypothesised that an underlying predisposing anatomical lesion would predispose individuals to develop prolonged febrile seizures and that temporal lobe epilepsy would later develop. As predicted, all the lesioned animals developed prolonged febrile seizures, while all other control groups only showed simple febrile seizures. After a latent period, 86 % of the animals who had experienced a prolonged seizure developed spontaneously recurrent limbic seizures. We now need to understand the anatomical and electrophysiological changes underlying this new epilepsy model to try and develop more effective treatments for the condition.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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; both teacher heads agree on what is shown here.
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".