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Record W4392165877 · doi:10.1016/j.jaac.2023.12.011

Neonatal Nucleus Accumbens Microstructure Modulates Individual Susceptibility to Preconception Maternal Stress in Relation to Externalizing Behaviors

2024· article· en· W4392165877 on OpenAlexfundno aff
Shi Yu Chan, Xi Zhen Low, Zhen Ming Ngoh, Zi Yan Ong, Michelle Z. L. Kee, Pei Huang, Shivaram Kumar, Anne Rifkin‐Graboi, Yap Seng Chong, Helen Chen, Kok Hian Tan, Jerry Kok Yen Chan, Marielle V. Fortier, Peter D. Gluckman, Juan Zhou, Michael J. Meaney, Ai Peng Tan

Bibliographic record

VenueJournal of the American Academy of Child & Adolescent Psychiatry · 2024
Typearticle
Languageen
FieldNeuroscience
TopicStress Responses and Cortisol
Canadian institutionsnot available
FundersPrecursory Research for Embryonic Science and TechnologyNational Institute of Education, Nanyang Technological UniversityNational Institutes of HealthMedical Research CouncilNational Healthcare GroupSingapore Institute for Clinical SciencesNational Medical Research CouncilNational Research FoundationNational University of SingaporeHope for Depression Research FoundationNational University Health SystemJacobs FoundationNational Research Foundation SingaporeAgency for Science, Technology and ResearchNanyang Technological UniversityMcGill University
KeywordsNucleus accumbensPsychologyRelation (database)Developmental psychologyStress (linguistics)NeuroscienceCentral nervous systemComputer science

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.017
GPT teacher head0.306
Teacher spread0.290 · 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

Citations3
Published2024
Admission routes1
Has abstractno

Explore more

Same venueJournal of the American Academy of Child & Adolescent PsychiatrySame topicStress Responses and CortisolFrench-language works237,207