MétaCan
Menu
Back to cohort
Record W4313475926 · doi:10.15690/vsp.v21i6.2469

The Choice of Product for Mixed or Formula Feeding of Infant: Beneficial Properties of Goat’s Milk Formula

2022· article· en· W4313475926 on OpenAlex
I. А. Belyaeva, Еlena P. Bombardirova, Tatiana V. Turti

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

VenueВопросы современной педиатрии · 2022
Typearticle
Languageen
FieldNursing
TopicInfant Nutrition and Health
Canadian institutionsChildren’s Health Research Institute
Fundersnot available
KeywordsInfant formulaComposition (language)Breast milkFood scienceBiologyFormula feedingPhysiologyMedicineBreast feedingPediatricsBiochemistry

Abstract

fetched live from OpenAlex

This review summarizes the benefits of goat’s milk as the basis to produce adapted milk formulas according to relevant infants feeding issues. The characteristics of main nutrients of modern goat’s milk formulas are presented. A balanced protein composition enriched with [1]-palmitate, presence of prebiotics-oligosaccharides, natural nucleotides and probiotics advances these formulas closer to breast milk and provide their multipotent sanogenetic effects. The unique composition of goat’s milk formulas allows to ensure normal physical growth of a baby, induces tissue and systemic immunity via adequate intestinal microbiota formation, maintains normal functioning of gut-brain axis, that promotes vegetative and visceral disorders (due to functional digestive disorders) correction. Thus, it is possible to recommend goat’s milk formulas in cases of forced mixed or formula feeding of healthy infants and children with functional digestive disorders.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.192
Threshold uncertainty score0.850

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.057
GPT teacher head0.308
Teacher spread0.251 · 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