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Record W2406232886 · doi:10.1159/000480555

Effect of Ethanol on 15-Hydroxyprostaglandin DehydrogenaseActivity in the Brain Stem of the Near-Term Fetal Sheep

2019· article· en· W2406232886 on OpenAlexaff
Deirdre Treissman, Graeme N. Smith, John Patrick, James F. Brien

Bibliographic record

VenueDevelopmental Pharmacology and Therapeutics · 2019
Typearticle
Languageen
FieldMedicine
TopicInflammatory mediators and NSAID effects
Canadian institutionsQueen's University
Fundersnot available
KeywordsFetusEthanolMedullaPonsDehydrogenaseIn vitroEndocrinologyIncubationInternal medicineChemistryBiologyEnzymeAndrologyBiochemistryPregnancyMedicine

Abstract

fetched live from OpenAlex

The effect of in vitro incubation with ethanol (10-80 mM) on 15-hydroxyprostaglandin dehydrogenase (15-OH-PGDH) activity was determined in the brain stem (pons and medulla) of the fetal sheep at a mean gestational age of 126 days (term: about 147 days). Enzyme activity was determined by measuring the rate of oxidation of PGE2 to 15-keto-PGE2 using a radiometric assay. There was no statistically significant ethanol-induced inhibition of 15-OH-PGDH activity. The data apparently do not support the hypothesis that acute in vitro exposure to ethanol directly inhibits 15-OH-PGDH activity in the near-term fetal brain stem.

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)0.000
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
Metaresearch0.0000.000
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)0.0010.000

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 head0.011
GPT teacher head0.288
Teacher spread0.277 · 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

Citations3
Published2019
Admission routes1
Has abstractyes

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