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Comparison of the Nutritional Values of Toddler Milks Available in Italy

2013· article· en· W2129752242 on OpenAlexvenueno aff
Enrica Riva, Elvira Verduci, Giuseppe Banderali, Maria Elena Capra, Marcello Giovannini

Bibliographic record

VenueInternational Journal of Child Health and Nutrition · 2013
Typearticle
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsnot available
Fundersnot available
KeywordsToddlerMedicinePediatricsEnvironmental healthDevelopmental psychology

Abstract

fetched live from OpenAlex

If breast milk is not available infant formula ensures a balanced intake of nutrients and is undoubtedly more suitable for infants than cows’ milk. In particular, it should point out the absolute necessity to postpone to the end of the first year of life, or even after the 2 nd year, the use of cow's milk for the extreme imbalance of nutrients that lead to high-protein diets and low levels of polyunsaturated fats, iron and zinc. As a consequence, in the absence of breast milk, the use of an appropriately adapted formula in the first year of life and the use of “toddler milk” from 12 to 36 months may represent adequate nutritional alternatives, especially when compare to the use of cow milk, and in particular may appear to play a fundamental role in the prevention of iron deficiency anemia. Different varieties of toddler milk are currently available in Italy. This review outlines the nutritional differences between breast, toddler and cows’ milks, and compares different brands of toddler milk.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.025
GPT teacher head0.337
Teacher spread0.312 · 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 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

Citations0
Published2013
Admission routes1
Has abstractyes

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Same venueInternational Journal of Child Health and NutritionSame topicChild Nutrition and Water AccessFrench-language works237,207