Influence of a Short-Term Attention Intervention on the Attentional Skills of Toddlers With Suspected or Confirmed Autism Spectrum Disorder
Bibliographic record
Abstract
Examination of the effectiveness of an attention intervention using a randomized controlled trial for toddlers with suspected or confirmed autism spectrum disorder (ASD). Data was collected from Alberta, Ontario, and Nova Scotia, Canada between February 2018 and February 2020 (halted due to COVID-19 pandemic). Participants were 35 toddlers randomized to the attention condition (age at start: 25.49 + 3.91 months; 29 boys; mother's ethnicity: 65% white) and 34 toddlers randomized to a control condition. (age at start: 26.32 + 3.55 months; 24 boys; mother's ethnicity: 29% white). The results suggest that the attentional skills can be improved by a computer-based attention intervention, which in turn affects behavior observed in a real-world setting.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".