Development and Adaptive Function in Individuals With <i>SCN2A</i> -Related Disorders
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: -related disorders, although descriptions are limited. We aimed to determine trajectories and outcomes of development and adaptive function. METHODS: -containing 2q24.3 copy number variants (CNVs) were considered separately. We collected medical and developmental history from parents/caregivers and medical records. Adaptive function and behavior were characterized using functional classification system levels and Vineland Adaptive Behavior Scales-3 (VABS-3) Parent/Caregiver Form. We repeated analyses on individuals with variants known to result in gain-of-function (GOF, typically EO phenotypes) or loss-of-function (LOF, typically LO phenotypes). RESULTS: < 0.01). Analyses of individuals with confirmed GOF/LOF variants (n = 57) showed similar results to the EO/LO analyses. DISCUSSION: -related disorders is extremely broad. Phenotypic subgroups provide prognostic information and critically inform clinical trial design.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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 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".