Fetal Alcohol Syndrome and Fetal Alcohol Spectrum Disorder
Bibliographic record
Abstract
Abstract Fetal alcohol spectrum disorder is an “umbrella” term that describes the spectrum of ethanol teratogenesis in humans. At one end of the spectrum are the subset of individuals with fetal alcohol syndrome, and at the other end of the spectrum are those individuals with behavioral and cognitive deficits who exhibit minimal or no physical stigmata as a consequence of ethanol‐induced prenatal brain injury. It was not until the past 3 decades that the medical community was convinced of the devastating effects of excessive alcohol use in pregnancy on the children. Although the diagnosis of fetal alcohol syndrome and its spectrum is a medical diagnosis, its effects on society are far‐reaching. Fetal alcohol spectrum disorder is distinct from many genetic syndromes described in this book in that the disorder is potentially entirely preventable, and the diagnosis points toward two affected individuals: the drinking mother and the alcohol‐exposed child. Diagnosis, intervention, and prevention offer some of the greatest challenges to health care providers, families, and their communities. Multidisciplinary diagnostic teams are developing throughout North America and other parts of the world that provide accurate and comprehensive assessments and treatment options for affected individuals with this common disorder.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.023 | 0.002 |
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".