MétaCan
Menu
Back to cohort

Personalized Intrinsic Network Topography Mapping and Functional Connectivity Deficits in Autism Spectrum Disorder

2018· article· en· W2952374112 on OpenAlexafffund
Erin W. Dickie, Stephanie H. Ameis, Saba Shahab, Navona Calarco, Dawn E. Smith, Dayton Miranda, Joseph D. Viviano, Aristotle N. Voineskos

Bibliographic record

VenueBiological Psychiatry · 2018
Typearticle
Languageen
FieldNeuroscience
TopicFunctional Brain Connectivity Studies
Canadian institutionsHospital for Sick ChildrenUniversity of TorontoCentre for Addiction and Mental Health
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentCanadian Institutes of Health ResearchUniversity of California, Los AngelesVlaamse regeringStavros Niarchos FoundationCanada Foundation for InnovationOntario Ministry of Research, Innovation and ScienceMeath FoundationOntario Mental Health FoundationNederlandse Organisatie voor Wetenschappelijk OnderzoekChildren's National HospitalCentre for Addiction and Mental Health FoundationNational Institute of Neurological Disorders and StrokeUniversity of PittsburghUniversity of UtahYale UniversityU.S. Department of Veterans AffairsSchool of MedicineStanford UniversityNew York UniversityEuropean CommissionOregon Health and Science UniversityNational Institutes of HealthSan Diego State UniversityUniversity of CaliforniaUniversity of MichiganMichigan Institute for Clinical and Health ResearchSimons FoundationNational Institute of Mental HealthKU LeuvenNational Institute on Deafness and Other Communication DisordersLeon Levy FoundationCarnegie Mellon UniversityAutism Speaks
KeywordsAutism spectrum disorderAutismResting state fMRIFunctional magnetic resonance imagingTypically developingNeuroscienceFunctional connectivityPsychologyMagnetic resonance imagingPervasive developmental disorderAudiologyMedicineDevelopmental psychology

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)0.000
metaresearch head score (Gemma)0.002
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 score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.045
GPT teacher head0.254
Teacher spread0.210 · 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

Citations79
Published2018
Admission routes2
Has abstractno

Explore more

Same venueBiological PsychiatrySame topicFunctional Brain Connectivity StudiesFrench-language works237,207