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Record W2038369621 · doi:10.1210/en.2009-0916

Minireview: Transgenerational Inheritance of the Stress Response: A New Frontier in Stress Research

2009· review· en· W2038369621 on OpenAlexaff
Stephen G. Matthews, David I. W. Phillips

Bibliographic record

VenueEndocrinology · 2009
Typereview
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsTransgenerational epigeneticsOffspringPrenatal stressInheritance (genetic algorithm)Fetal programmingFunction (biology)Intervention (counseling)Stress (linguistics)BiologyBioinformaticsMedicineNeurosciencePregnancyGeneticsPsychiatryGene

Abstract

fetched live from OpenAlex

It is well established in animal models that the prenatal environment can have a major impact on stress axis function throughout life. These changes can predispose to various metabolic, cardiovascular, and neurobiological pathophysiologies. Emerging evidence indicates that the same programming effects occur in humans. It is now becoming clear that the pathophysiological effects are not confined to the first-generation offspring and that there is transgenerational memory of fetal experience that can extend across multiple generations. The complex mechanisms by which transgenerational transmission of stress responsiveness occur are rapidly becoming a focus of investigation. Understanding these fundamental biological processes will allow for development of intervention strategies that prevent or reverse adverse programming of the stress response.

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.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0090.007

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 head0.172
GPT teacher head0.447
Teacher spread0.275 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations120
Published2009
Admission routes1
Has abstractyes

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