Pediatric State of the Art Symposium: Infantile Spasms: Emerging Therapies and Novel Mechanisms 7:00 p.m.‐9:00 p.m.
Bibliographic record
Abstract
Carl E. Stafstrom*, Douglas Nordli†, Andrew Lux‡ and Lionel Carmant§ *Neurology, University of Wisconsin, Madison, WI; †Neurology, Children's Memorial Hospital, Chicago, IL; ‡Pediatric Neurology, British Royal Hospital for Children, Bristol, United Kingdom and §Pediatric Neurology, Ste‐Justine Hospital, Montreal, QC, Canada Summary: Infantile spasms is a catastrophic epilepsy of childhood that poses unique challenges for the clinician. An optimal therapy is lacking, and to date there has been no animal model that sufficiently replicates clinical features, so our understanding of mechanism is incomplete. Existing therapies are limited by effectiveness, availability or both. Yet, each of these challenges offers a unique opportunity to advance clinical and basic knowledge of this developmental epilepsy. This symposium will discuss recent advances about the clinical profile, therapeutic modalities, outcome, and mechanisms of infantile spasms. Dr. Nordli will review infantile spasms presentations and clinial features, especially variants. Dr. Lux will discuss current and future treatments. Dr. Carmant will discuss outcomes of infantile spasms. Finally, Dr. Stafstrom will consider emerging animal models that might shed light on infantile spasms mechanisms.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.067 | 0.014 |
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".