Corrigendum to ‘Functional seizures across the adult lifespan: female sex, delay to diagnosis and disability’ [Seizure: European Journal of Epilepsy (2021) 476-483]
Bibliographic record
Abstract
The authors would like to inform you that there was a formatting error in the title of their published article, which included “Title:” by mistake. The correct title is provided above. Functional seizures across the adult lifespan: female sex, delay to diagnosis and disabilitySeizure - European Journal of EpilepsyVol. 91PreviewFunctional seizures (FS), also known as dissociative or psychogenic nonepileptic seizures (PNES) [1–5], are involuntary transient episodes of abnormal behavior with an appearance of a neurologic etiology, for example demonstrating abnormal movements or cognition, and are believed to represent physical manifestations of psychological dysfunction [6–9]. FS differ from epileptic seizures (ES) in their cause and treatment. Prompt diagnosis of FS, generally with ictal video-EEG, has been associated with improved quality of life, seizure control, and healthcare utilization [10–16]. Full-Text PDF Open Access
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.026 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.138 | 0.085 |
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".