Behavioral Relationship Between Autism and Fragile X Syndrome
Bibliographic record
Abstract
Previous researchers have reported autistic features in children with fragile X syndrome. We compared 21 children with pervasive developmental disorders (autism group) to 15 with fragile X syndrome on the Childhood Autism Rating Scale and the Reiss Scales for Children's Dual Diagnosis. The 7 children (47%) with fragile X who scored above the Childhood Autism Rating Scale cut-off (fragile X-autism group) were more impaired than the remaining children (fragile X-no autism) on Childhood Autism Rating Scale subscales related to emotion, visual and listening responses, and communication. The autism group's Reiss scores were higher than fragile X-no autism group, but not fragile X-autism group. Although the Childhood Autism Rating Scale identified almost 50% of children with fragile X as having autism, qualitative differences may exist in specific autistic-like behaviors between children with autism and children with fragile X.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".