Decision Making and Antipsychotic Medication Treatment for Youth With Autism Spectrum Disorders: Applying Guidelines in the Real World
Bibliographic record
Abstract
Article Abstract Because this piece does not have an abstract, wehave provided for your benefit the first 3 sentences of the fulltext. Autism spectrum disorder (ASD) is a diagnosis that is characterized by varying degrees of (1) impairment in social reciprocity, (2) impairment in social communication,and (3) repetitive, restrictive, stereotyped patterns of interests, activities, and behaviors. While ASD prevalence varies across regions, recent prevalence rates range from 1:88 children in the United States to 1:160 children worldwide. Currently, only 2 atypical antipsychotics, risperidone (in 5- to 16-year-olds) and aripiprazole (in 6- to 17-year-olds),are approved by the US Food and Drug Administration (FDA) for treatment of significant irritability (aggression toward others, deliberate self-injuriousness, temper tantrums, and labile moods) associated with ASD.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.051 | 0.159 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.005 | 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".