WITHDRAWN–How to Help Your Patients Enroll in the New-Onset Refractory Status Epilepticus (NORSE) and Febrile Infection-Related Epilepsy Syndrome (FIRES) Family Registry, and Other Rare Epilepsy Registries
Bibliographic record
Abstract
New-onset refractory status epilepticus (NORSE) is a rare clinical presentation of refractory status epilepticus (RSE) that occurs in people without active epilepsy or preexisting neurologic disorder. Febrile infection-related epilepsy syndrome (FIRES) is a subcategory of NORSE. New-onset refractory status epilepticus/FIRES are becoming increasingly recognized; however, information pertaining to disease course, clinical outcomes, and survivorship remains limited, and mortality and morbidity are variable, but often high. The objective of the NORSE/FIRES Family Registry is to (1) provide an easily accessible and internationally available multilingual registry into which survivors or NORSE/FIRES surrogates or family members of people affected by NORSE/FIRES or their physicians can enter data in a systematic and rigorous research study from anywhere in the world where internet is available; and (2) to examine past medical history, outcomes, and quality of life for people affected by NORSE/FIRES.
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 | 0.012 | 0.079 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.094 | 0.046 |
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".