Affective Decision-Making on the Iowa Gambling Task in Children and Adolescents with Fetal Alcohol Spectrum Disorders
Bibliographic record
Abstract
Individuals with fetal alcohol spectrum disorders (FASD) have difficulties with cognitive-based executive function (EF) tasks. The goal of the present study was to determine if children with FASD have impairments on the Iowa Gambling Task (IGT), which measures affective EF (i.e., decision-making and risk-taking). Individuals with FASD (n = 31) and healthy controls (n = 31), aged 8-17 completed the IGT. Children with FASD were significantly impaired on the IGT compared to controls. Over the course of the task, control scores improved, whereas children with FASD exhibited an overall decrease in scores. Scores increased significantly with age in the control group but did not differ significantly with age for FASD participants. Children with FASD exhibited decision-making and risk-taking impairments on a hot EF task. Children with FASD did not appear to learn from negative experiences and shift to making more positive decisions over time and their performance did not improve with age. The implications of poor task performance and a lack of age-related findings in children with FASD are discussed.
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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 | 0.003 |
| 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 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".