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Record W2126310660 · doi:10.1177/1088357615588517

Preliminary Randomized Trial of Function-Based Cognitive-Behavioral Therapy to Treat Obsessive Compulsive Behavior in Children With Autism Spectrum Disorder

2015· article· en· W2126310660 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFocus on Autism and Other Developmental Disabilities · 2015
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsLaurentian UniversityBrock University
FundersYale University
KeywordsPsychoeducationAutism spectrum disorderRandomized controlled trialPsychologyCognitive behavioral therapyClinical psychologyAutismCognitionIntervention (counseling)Psychological interventionCognitive restructuringPsychiatryMedicine

Abstract

fetched live from OpenAlex

Individuals with high functioning autism spectrum disorder (ASD) frequently experience obsessions and/or compulsions that are similar to those specified in Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM-5) criteria for obsessive-compulsive disorder (OCD). However, little research exists on effective interventions for OCD-like behaviors (referred to as OCBs) in ASD. In a preliminary randomized controlled trial (RCT; N = 14), a manualized function-based cognitive-behavior therapy (Fb-CBT) consisting of traditional CBT components (psychoeducation and mapping, cognitive-behavioral skills training, exposure, and response prevention) as well as function-based behavioral assessment and intervention significantly decreased OCBs in 8- to 12-year-old children with ASD at post-treatment and 5-month follow-up. This multi-component treatment shows considerable promise, and a larger RCT is needed to further validate and expand these findings.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.044
GPT teacher head0.305
Teacher spread0.262 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it