Bibliographic record
Abstract
Short Description Benign Familial Neonatal Seizures (BNFS) were first reported as Benign Familial Neonatal Convulsions by Rett and Teubel (1964) (> Fig. 117-1). It is a rare, dominantly inherited epileptic syndrome with a penetrance as high as 85%. Since 1989, BFNS have been listed among ‘‘idiopathic generalized epilepsies and syndromes’’ in the International Classification of Epilepsies, Epileptic Syndromes and Related Disorders. These syndromes do not strictly fulfill the criteria of idiopathic generalized epilepsies (IGE): the typical trait of generalized spike–wave discharge is not present, and seizures are not generalized. But it can be argued that the immaturity of the central nervous system is responsible for this lack. Nevertheless, Benign Neonatal seizures (BNS) are defined by a favorable outcome, i.e., a normal psychomotor development and the absence of secondary epilepsy. The best estimate of the population rate for BFNS comes from a recent prospective, population-based study that involved all obstetric and neonatal units across the province of Newfoundland, Canada (Ronen et al. 1999). Five cases of BFNS were observed among 34,615 live births from 1 January 1990 to 31 December 1994. Thus, the incidence of BFNS was reported as 14.4 per 100,000 live births.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.010 | 0.002 |
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".