Development of a Novel Multi-Disciplinary Specialized Care Service for Children and Adolescents with Autism Spectrum Disorder and/or Intellectual/Developmental Disability in a Tertiary Children’s Hospital Setting
Bibliographic record
Abstract
Children and adolescents with autism spectrum disorder (ASD) and/or Intellectual/Developmental Disability (IDD) are at greater risk of developing comorbid medical conditions, mental health diagnoses, behavioral challenges, and having overall poorer physical and mental health outcomes. Hospital environments present unique stressors and challenges for children and adolescents with ASD/IDD including a change in familiar environment, unpredictable routines, and exposure to sensory stimuli that may be overwhelming. While many school boards have specialized multi-disciplinary special needs support teams and services made up of professionals with expertise in supporting students with ASD/IDD, most hospitals do not have a formal multi-disciplinary ASD/IDD support team in place to support patients, families, and health care staff across the hospital. There is an emerging recognition of the need for specialized multi-disciplinary developmental-behavioral and mental health expertise in hospital inpatient settings. This paper describes the framework for the development of an innovative multi-disciplinary program to better support children and adolescents with ASD/IDD within a tertiary children's hospital 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".