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Record W3112608976 · doi:10.1093/pch/pxaa118

Pasteurized and unpasteurized donor human milk

2020· review· en· W3112608976 on OpenAlexaffabout
Catherine Pound, Sharon Unger, Becky Blair

Bibliographic record

VenuePaediatrics & Child Health · 2020
Typereview
Languageen
FieldNursing
TopicInfant Nutrition and Health
Canadian institutionsCanadian Paediatric Society
Fundersnot available
KeywordsPasteurizationMedicineSAFERInfant formulaEnvironmental healthFood sciencePediatricsBiologyComputer science

Abstract

fetched live from OpenAlex

It is universally accepted that human milk is the optimal, exclusive source of nutrition for infants 0 to 6 months of age, and may remain part of the healthy infant diet for the first 2 years of age and beyond. Despite advances in infant formulas, human milk provides a wide range of benefits, due in part to its bioactive matrix that cannot be replicated by any other source of nutrition. When there is an insufficient volume of mother's milk for the vulnerable newborn, pasteurized donor human milk should be made available, as a bridge to mother's milk and as the first alternative feeding choice, followed by commercial formula. There is a limited supply of donor milk in Canada and distribution is prioritized for sick, hospitalized neonates. Informal milk sharing is the practice of donating and receiving expressed human milk without going through a human milk bank. Informal milk sharing carries risk for bacterial and viral transmission as well as inconsistency and uncertainty regarding donor screening. Paediatricians and other health care providers need to be aware of the risks of informal milk sharing and be able to counsel families appropriately on safer alternatives.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.039
GPT teacher head0.345
Teacher spread0.306 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations20
Published2020
Admission routes2
Has abstractyes

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