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Record W2415302695 · doi:10.1159/000457058

Ethanol Disposition in Newborn Lambs and Comparison of Alcohol Dehydrogenase Activity in Placenta and Maternal Sheep, Fetal and Neonatal Lamb Liver

2017· article· en· W2415302695 on OpenAlexaff
M.E. Cumming, B. Y. Ong, J.G. Wade, Daniel Sitar

Bibliographic record

VenueDevelopmental Pharmacology and Therapeutics · 2017
Typearticle
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsFetusAlcohol dehydrogenasePlacentaEndocrinologyEthanolGestationPregnancyInternal medicineMetabolismPharmacokineticsTeratologyAlcoholBiologyMedicineBiochemistry

Abstract

fetched live from OpenAlex

The kinetic disposition of ethanol was studied in neonatal lambs. The mean plasma clearance rate was 36 mg/l/h, 17% of that in near-term pregnant sheep. Activity increased slowly during the first 5 days of life. Hepatic alcohol dehydrogenase activity in the neonatal lamb was only 7% of that in adult sheep, but was similar to activity in the near-term fetus. Placental enzyme activity was even lower than that in the fetus and neonate, suggesting only a minor role for it in the metabolic disposition of ethanol during pregnancy. The pH optimum for alcohol dehydrogenase was higher in the fetus and neonate (9.6) than in maternal liver or placenta (9.0). The pharmacodynamic consequences of prolonged neonatal exposure to ethanol due to impaired metabolism remain to be explored.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.061
Threshold uncertainty score0.670

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.048
GPT teacher head0.362
Teacher spread0.314 · 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 teacher head, 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

Citations9
Published2017
Admission routes1
Has abstractyes

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