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Record W2145848089

Milk consumption and mucus production in children with asthma.

2012· article· en· W2145848089 on OpenAlexaffabout
Gurkaran Thiara, Ran D. Goldman

Bibliographic record

VenuePubMed · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDigestive system and related health
Canadian institutionsBC Children's Hospital
Fundersnot available
KeywordsAsthmaMucusMedicineConsumption (sociology)Environmental healthPediatricsInternal medicineBiology
DOInot available

Abstract

fetched live from OpenAlex

QUESTION: Many parents of children with asthma are becoming increasingly reluctant to add milk to their children's diet because they believe it will worsen their children's asthma owing to increased mucus secretion. Recognizing the importance of milk as part of a healthy diet in supporting growth and calcium consumption, is it advisable to restrict milk in the diet? ANSWER: Dating back to the 12th century, milk has been proscribed for patients with asthma. However, to this very date studies have not been able to provide a definitive link for this recommendation. As there is a need for more conclusive evidence to determine the effect of milk among children with asthma and further understanding of mechanisms involved in mucus production, milk should not be eliminated or restricted. Health Canada recommends 2 servings of milk (0.5 L) a day for children 2 to 8 years of age and 3 to 4 servings of milk a day (0.75 to 1 L) for children 9 to 13 years of age for unrestricted healthy development.

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 score0.017
Threshold uncertainty score0.183

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 head0.011
GPT teacher head0.217
Teacher spread0.207 · 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

Citations8
Published2012
Admission routes2
Has abstractyes

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