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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".