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Record W2081915183 · doi:10.1159/000240863

Serotonin Metabolism in Normal and Abnormal Infants during the Perinatal Period

2009· article· en· W2081915183 on OpenAlexaff
Jun‐Bi Tu, Ching-Yee Wong

Bibliographic record

VenueBiology of the Neonate · 2009
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience of respiration and sleep
Canadian institutionsQueen's University
Fundersnot available
KeywordsFetusIn uteroPlacentaAmniotic fluidMetabolismPerinatal periodEndocrinologySerotoninPathologicalPregnancyGestational ageInternal medicineMedicinePhysiologyBiology

Abstract

fetched live from OpenAlex

The concentration of serotonin (5-HT) and 5-hydroxyindole acetic acid (5-HIAA) in various body fluids was measured during the perinatal period in two groups of infants born with normal and pathological conditions, respectively. Evidence was obtained showing that fetal blood 5-HT level was relatively stable, uninfluenced by maternal or fetal factors, and was about half the value of the maternal blood. High levels of 5-HIAA and evidence of an active decomposition of 5-HT were found in the amniotic fluid. These findings suggest that 5-HT in utero is subjected to a very active metabolic turnover. The origin of the fetal blood 5-HT and the significance of the placenta in the control of intrauterine 5-HT metabolism is discussed. There was no clear evidence of abnormal 5-HT metabolism in toxemic pregnancies, premature babies, and an infant with Down's syndrome in the perinatal period.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.252
Teacher spread0.239 · 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

Citations13
Published2009
Admission routes1
Has abstractyes

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