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Record W2034556675 · doi:10.1016/j.jaac.2014.09.015

18-Month Predictors of Later Outcomes in Younger Siblings of Children With Autism Spectrum Disorder: A Baby Siblings Research Consortium Study

2014· article· en· W2034556675 on OpenAlexafffund
Katarzyna Chawarska, Frederick Shic, Suzanne Macari, Daniel Campbell, Jessica Brian, Rebecca Landa, Ted Hutman, Charles A. Nelson, Sally Ozonoff, Helen Tager‐Flusberg, Gregory S. Young, Lonnie Zwaigenbaum, Ira L. Cohen, Tony Charman, Daniel S. Messinger, Ami Klin, Scott P. Johnson, Susan E. Bryson

Bibliographic record

VenueJournal of the American Academy of Child & Adolescent Psychiatry · 2014
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsDalhousie UniversityUniversity of AlbertaUniversity of Toronto
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Center for Research ResourcesNational Institute of General Medical SciencesChildren's Hospital FoundationNational Institute of Mental HealthNational Center for Advancing Translational SciencesMedical Research CouncilUniversity of California, Los AngelesCanadian Institutes of Health ResearchGeorgia Clinical and Translational Science AllianceUniversity of California, DavisDalhousie UniversityKing's College LondonAlberta InnovatesEuropean Science FoundationEuropean CommissionChildren's Healthcare of AtlantaUniversity of AlbertaYale UniversityUniversity of TorontoAutism SpeaksEmory UniversityNational Institutes of HealthNational Institute on Deafness and Other Communication DisordersStollery Children’s Hospital FoundationJohns Hopkins UniversityAmgenUniversity of Miami
KeywordsAutism spectrum disorderAutismAutism Diagnostic Observation SchedulePsychologyEye contactLanguage delayNeurodevelopmental disorderDevelopmental disorderCohortEarly childhoodClinical psychologyDevelopmental psychologyPediatricsMedicineLanguage development

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.021
GPT teacher head0.324
Teacher spread0.303 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations235
Published2014
Admission routes2
Has abstractno

Explore more

Same venueJournal of the American Academy of Child & Adolescent PsychiatrySame topicAutism Spectrum Disorder ResearchFrench-language works237,207