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Consejería nutricional incrementa el consumo de alimentos ricos en calcio, pero la ingesta se mantiene por debajo del requierimiento diario

2014· article· es· W2002555271 on OpenAlexaff
Sheila Cerezo de Ríos, Israel Ríos-Castillo, Alex Brito, Daniel López de Romaña, Manuel Olivares G, Fernando Pizarro A

Bibliographic record

VenueRevista chilena de nutrición · 2014
Typearticle
Languagees
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsNutrition International
Fundersnot available
KeywordsGeographyHumanitiesArt

Abstract

fetched live from OpenAlex

INTRODUCCIÓNEl calcio es un mineral esencial que participa en la regulación de diversos procesos metabólicos, especialmente a nivel óseo y neuromuscular (1,2).Este micronutriente juega un rol crucial en el desarrollo de huesos y dientes, en la conducción nerviosa, contracción muscular, ritmos cardíacos, función cardiovascular, entre otros (1,3).La ingesta dietaria de calcio es importante para mantener la salud ósea (4).La infancia y la adolescencia son los períodos de la vida más críticos para alcanzar la masa ósea máxima durante la edad adulta (5).La mujer empieza a perder masa ósea a partir de los 40 años, debido al proceso de resorción del hueso y a la carencia de estrógeno después de la menopausia,

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)0.001
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 score0.019
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0190.003

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 head0.022
GPT teacher head0.341
Teacher spread0.319 · 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

Citations5
Published2014
Admission routes1
Has abstractyes

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