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Record W2163876365 · doi:10.1177/0890334409334606

Volume of Foremilk, Hindmilk, and Total Milk Produced by Mothers of Very Preterm Infants Born at Less Than 28 Weeks of Gestation

2009· article· en· W2163876365 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Human Lactation · 2009
Typearticle
Languageen
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsUniversity of TorontoSt. Michael's HospitalSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineBreastfeedingLactationParity (physics)GestationHumBirth weightAnimal scienceObstetricsPregnancyPediatricsBiology

Abstract

fetched live from OpenAlex

The purpose of this study is to describe foremilk volume (milk produced in the first 3 minutes of pumping), hindmilk volume (remainder of milk produced), and total milk volume produced by mothers of very preterm infants at 3 weeks postpartum and associated factors. Mothers (n = 24) mechanically pump their breasts a median (minimum, maximum) of 7 times (5, 9 times) per 24 hours for a total of 15 minutes (9.4, 23.9 minutes) each time. Foremilk, hindmilk, and total milk volumes are 183 mL per 24 hours (80, 810), 318 mL per 24 hours (98, 1007), and 545 mL per 24 hours (224, 1817), respectively. Milk volumes are not associated with mother's age, race or ethnic background, education, parity, reported prepregnancy body mass index, previous breastfeeding experience, frequency of milk pumping, longest time between pumps, infant birth weight, or multiple births. The degree of pre-maturity (<26 weeks vs 26(0/7)-27(6/7) weeks) is significantly related to the relative proportion of foremilk/hindmilk volumes (45:55 vs 36:65, respectively).

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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.729
Threshold uncertainty score0.304

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 communication0.0000.001
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 head0.017
GPT teacher head0.286
Teacher spread0.269 · 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