Detecting Seizures from a Low-density Montage with BrainsView
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Critically ill paediatric patients are at increased risk of having seizures without apparent clinical signs making clinical diagnosis particularly difficult. Undetected or delayed treatment of seizures worsens these patients’ functional neurological recovery. <br/>An electroencephalogram (EEG) is the gold standard method to detect seizures. Certified clinical physiologists are required to apply high density montages and neurologists are needed to interpret the recordings and identify seizures. Neither are available round the clock in the paediatric critical care units (PCCU). Thus, there is a clinical need to develop a quantitative seizure detection method using a low-density EEG montage, which may be applied by the bedside nurses in PCCU. In this project, we aim to test and adapt the BrainView’s brain connectivity assessment software to detect seizures using only 8 channels from routinely collected multi-channels EEG. <br/>
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 it