Intra-Familial Incidence and Characteristics of Hot Water Epilepsy
Bibliographic record
Abstract
OBJECTIVE: To assess the clinical features of several members of the same family diagnosed with both hot water epilepsy (HWE) and cerebral lesions. METHODS: Age at onset and types of seizure, precipitating factors, EEG findings, and neuroimages were evaluated. RESULTS: The family consisted of six generations, including one consanguineous parent. Of eight family members diagnosed with epilepsy, seven suffered from HWE. Age at onset of seizures ranged within childhood. Seven patients with HWE experienced complex partial seizures, with or without secondary generalization; one experienced simple partial seizures as well as complex partial seizures. Three patients experienced spontaneous seizures as well as HWE. Interictal EEG revealed abnormalities in two patients. Magnetic resonance imaging revealed cerebral lesions in one patient, probably attributable to ischemic changes. Magnetic resonance images were consistent with findings of ischemic gliosis in two patients, and either demyelinating or ischemic gliosis in one patient. CONCLUSIONS: Descriptions of HWE families with different ethnic backgrounds may permit more definite conclusions regarding the mechanisms epileptogenesis, and the genetic defects that underlie this disease.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.003 | 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".