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Assessing fetal response to maternal speech using a noninvasive functional brain imaging technique

2011· article· en· W2093213442 on OpenAlexaff
Renaud Jardri, Véronique Houfflin‐Debarge, Pierre Delion, Jean‐Pierre Pruvo, Pierre Thomas, Delphine Pins

Bibliographic record

VenueInternational Journal of Developmental Neuroscience · 2011
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsCanadian Nautical Research Society
Fundersnot available
KeywordsIn uteroFetusNeurosciencePsychologySensory systemMedicineHuman brainPregnancyAudiologyBiology

Abstract

fetched live from OpenAlex

Evidence for cortical sensory activation in the human fetus at the beginning of the third trimester of pregnancy was provided in a recent imaging study. Although hearing is functional before birth, it is not clear whether recognition of the mother's voice is learned in utero or rapidly following delivery. We developed an original fMRI procedure that allows for the specific exploration of fetal brain response to auditory stimuli. This procedure provides the first in vivo evidence for the development of maternal voice recognition in utero between 33 and 34 weeks of gestation. This methodology could have crucial implications in the study of fetal cognition.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

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)0.0010.000

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 head0.061
GPT teacher head0.350
Teacher spread0.289 · 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 designBench or experimental
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

Citations117
Published2011
Admission routes1
Has abstractyes

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Same venueInternational Journal of Developmental NeuroscienceSame topicLanguage Development and DisordersFrench-language works237,207