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Record W3201509455 · doi:10.1093/cdn/nzab114

Effect of Low Dietary Vitamin D Fed Prior to and During Pregnancy and Lactation on Maternal Bone Mineral Density, Structure, and Strength in C57BL/6 Mice

2021· article· en· W3201509455 on OpenAlexaff
Christopher Villa, Sandra M. Sacco, Jianmin Chen, Amel Taïbi, Elena M. Comelli, Wendy E. Ward

Bibliographic record

VenueCurrent Developments in Nutrition · 2021
Typearticle
Languageen
FieldMedicine
TopicVitamin D Research Studies
Canadian institutionsBrock UniversityUniversity of Toronto
Fundersnot available
KeywordsBone mineralLactationEndocrinologyInternal medicineFemurBone densityVitamin D and neurologyVitaminPregnancyVertebraBiologyOsteoporosisMedicineAnatomySurgery

Abstract

fetched live from OpenAlex

Several studies have shown that diets containing lower vitamin D than in the AIN-93G diet do not compromise bone structure, bone mineral density (BMD), and/or bone strength in male and female mice. This study determined if a diet containing low vitamin D from prepregnancy through to the end of lactation maintained these bone outcomes to a similar extent as a high vitamin D diet. Mice were fed an AIN-93G diet with 25 (LD diet) or 5000 (HD diet) IU vitamin D/kg diet from premating through to lactation (n = 15/group). Of the major structure outcomes, only cortical area fraction of the distal femur was lower (P <0.05) with the LD diet. Lumbar vertebra BMD was lower (P <0.05) with LD whereas distal femur BMD and bone strength at 3 sites did not differ. Dams fed an LD diet premating through to the end of lactation had largely similar bone outcomes to dams fed a HD diet.

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 score0.085
Threshold uncertainty score0.553

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 head0.012
GPT teacher head0.303
Teacher spread0.291 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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