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Micronutrients Intake and Status during Pregnancy and Lactation

2019· book· en· W3214445179 on OpenAlexfundno aff
Louise Brough, Gail Rees

Bibliographic record

Venuenot available
Typebook
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsnot available
FundersNational Center for Advancing Translational SciencesNational Institutes of HealthMedical Research CouncilGlobal Affairs CanadaUniversità di CataniaLondon Metropolitan UniversityMassey UniversityJunta de AndalucíaMinisterio de Economía y CompetitividadGovernment of CanadaPalmerston North Medical Research FoundationMichigan State UniversityUniversity of California, DavisCollege of Engineering, Michigan State UniversityUniversity of NottinghamClemson University
KeywordsMicronutrientPregnancyLactationOverconsumptionEnvironmental healthMedicineMicronutrient deficiencyPhysiologyBiology

Abstract

fetched live from OpenAlex

Optimal nutrition is important during pregnancy and lactation for the health of both the mother and infant. Chronic deficiencies of both macronutrients and micronutrients are well established in developing countries. Although in developed countries overconsumption of macronutrients is a major issue, micronutrient deficiencies which occur concomitantly are no less of a concern. Furthermore in developed countries there is also the risk of excessive micronutrient intake from dietary supplements. Micronutrients have a role in fetal and neonatal health and also health in later life. Micronutrient deficiency or toxicity during pregnancy or early life can permanently affect developing tissues, resulting in adverse growth and development of the infant which is associated with chronic diseases in adulthood. An aberrant micronutrient intake during pregnancy or lactation can also have detrimental effect on the mother both in the neonatal period and in later life.

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)0.000
metaresearch head score (Gemma)0.000
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: Other · Consensus signal: Other
Teacher disagreement score0.012
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0120.007

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 head0.010
GPT teacher head0.238
Teacher spread0.228 · 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
GenreOther

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
Published2019
Admission routes1
Has abstractyes

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