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Record W2054794782 · doi:10.1159/000047146

Alcohol and Breast Feeding: Calculation of Time to Zero Level in Milk

2001· article· en· W2054794782 on OpenAlexaff
Elaine Qiao Ying Ho, Alexis Collantes, Bhushan Kapur, Myla E. Moretti, Gideon Koren

Bibliographic record

VenueNeonatology · 2001
Typearticle
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsBreast milkNomogramAlcoholEthanolMedicinePharmacokineticsBreast feedingAlcohol consumptionPhysiologyAnimal scienceFood scienceObstetricsPediatricsInternal medicineChemistryBiologyBiochemistry

Abstract

fetched live from OpenAlex

OBJECTIVE: To create a nomogram that will guide lactating women who drink socially on how to avoid neonatal exposure to ethanol through breast milk. DESIGN: Pharmacokinetic modeling of ethanol elimination from milk based on reference values. Calculation of the time to zero alcohol in breast milk for a range of doses and body weights. RESULTS: The elimination of alcohol and time-to-zero levels in breast milk are described in a nomogram as a function of the amount of alcohol consumed and the body weight of the woman. CONCLUSIONS: Careful planning of a breast feeding schedule, by storing milk before drinking and/or waiting for complete alcohol elimination from the breast milk, can ensure women that their babies are not exposed to any alcohol.

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 score0.357
Threshold uncertainty score0.327

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 head0.020
GPT teacher head0.274
Teacher spread0.254 · 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

Citations46
Published2001
Admission routes1
Has abstractyes

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