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Record W2912406012 · doi:10.1007/s10803-019-03897-2

Brief Report: Evaluation of the Short Quantitative Checklist for Autism in Toddlers (Q-CHAT-10) as a Brief Screen for Autism Spectrum Disorder in a High-Risk Sibling Cohort

2019· article· en· W2912406012 on OpenAlexafffund
Sarah Raza, Lonnie Zwaigenbaum, Lori‐Ann R. Sacrey, Susan E. Bryson, Jessica Brian, Isabel M. Smith, Kyle Reid, Wendy Roberts, Péter Szatmári, Tracy Vaillancourt, Caroline Roncadin, Nancy Garon

Bibliographic record

VenueJournal of Autism and Developmental Disorders · 2019
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsMcMaster Children's HospitalGlenrose Rehabilitation HospitalHospital for Sick ChildrenCentre for Addiction and Mental HealthUniversity of OttawaMount Allison UniversityHolland Bloorview Kids Rehabilitation HospitalHamilton Health SciencesDalhousie UniversityUniversity of TorontoIzaak Walton Killam Health CentreUniversity of Alberta
FundersCanadian Institutes of Health ResearchKids Brain Health NetworkAlberta InnovatesAzrieli FoundationStollery Children’s Hospital FoundationAlberta Innovates - Health SolutionsWomen and Children's Health Research InstituteFondation Brain Canada
KeywordsAutismAutism spectrum disorderSiblingCohortPsychologyChecklistCohort studyPediatricsChild Behavior ChecklistClinical psychologyPsychiatryMedicineDevelopmental psychologyInternal medicine

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

How this classification was reachedexpand

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.030
GPT teacher head0.321
Teacher spread0.291 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations29
Published2019
Admission routes2
Has abstractno

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