Is the presence of urinary indolyl-3-acryloylglycine associated with autism spectrum disorder?
Bibliographic record
Abstract
To test whether the presence of indolyl-3-acryloylglycine (IAG) is associated with autism, we analyzed urine from population-based, blinded cohorts. All children in York, UK with autism spectrum disorders (ASDs), diagnosed using ICD-10 research diagnostic criteria, were invited to participate. Fifty-six children on the autism spectrum (mean age 9y 8mo, SD 3y 8mo; 79% male) agreed to participate, as did 155 children without ASDs (mean age 10y, SD 3y 2mo; 54% male) in mainstream and special schools (56 of whom were age-, sex-, and school-matched to children with ASDs). IAG was found at similar levels in the urine of all children, whether IAG concentrations or IAG:creatinine ratios were compared. There was no significant difference between the ASD and the comparison group, and no difference between children at mainstream schools and those at special schools. There is no association between presence of IAG in urine and autism; therefore, it is unlikely to be of help either diagnostically or as a basis for recommending therapeutic intervention with dietary manipulation. The significance of the presence of IAG in urine has yet to be determined.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".