Preference for Eyes Predicts Later Autism-Related Characteristics in Children with a Family History of Autism
Bibliographic record
Abstract
Autism is characterized by difficulties in initiating and maintaining social interactions and communication, and displays reduced attention to faces, particularly in the eye region. Family members of autistic individuals are more likely to exhibit autism-like traits and also show reduced attention to the eye region during infancy. The current study tested 9-month-old infants (n = 47, 68.07% white) with (first-degree relatedness = 9, male = 55.56%, second-degree relatedness = 9, male = 66.67%) and without a familial history of autism (n= 29,male = 44.83%) for their preference for eyes, using side-by-side images of faces with open versus closed eyes. The same infants were later assessed longitudinally for autism-related characteristics. A stronger preference for open eyes predicted lower autism-related scores later in infants with a first-degree relative with autism. These findings provide valuable insights into how early eye preference may predict later autism outcomes in infants at elevated likelihood for autism.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".