Psychosis in temporal lobe epilepsy: atypical presentation
Bibliographic record
Abstract
A 55-year-old lady was admitted following a concern raised by family members who had noticed a change in behaviour in terms of declining mood, paranoia with expression of belief that she was being bugged, also reported smelling perfume and after shave lotion. She had a prior diagnosis of bipolar mood disorder and was on lithium but remained no-compliant with her prescribed medication in the 10 weeks before admission. Upon admission, necessary investigations were performed including CT scan and EEG. Her CT was normal but EEG was grossly abnormal. Neurology consultation was sought and a sleep deprived EEG and MRI was ordered. Meanwhile, carbamezipine was commenced in view of the change in diagnosis to that of temporal lobe epilepsy. The patient responded very well to this regime and improved in all spheres. She was finally discharged with follow-up appointments with both neurology and psychiatry clinics.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".