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Record W2052888198 · doi:10.2527/af.2014-0012

The importance of milk as a source of vitamin B12 for human nutrition

2014· article· en· W2052888198 on OpenAlexaff
J. J. Matte, Michel Britten, C.L. Girard

Bibliographic record

VenueAnimal Frontiers · 2014
Typearticle
Languageen
FieldMedicine
TopicFolate and B Vitamins Research
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsVitamin B12PasteurizationFood scienceBioavailabilityVitaminBiologyCyanocobalaminMilk productsBiochemistry

Abstract

fetched live from OpenAlex

Among animal products, those from ruminants are particularly rich in vitamin B12, which is naturally synthesized by the ruminal microflora and transferred to milk. Concentrations of vitamin B12 in milk vary considerably and are affected by diet. Dairy products retain, in general, a major part of the vitamin B12 naturally present in milk, some processing conditions may even add to the basal level by production of vitamin B12 from propionic bacterium in Swiss-type cheeses. Intestinal bioavailability of vitamin B12 from milk, regardless of the technological process (raw, pasteurized, or microfiltered) is greater than the synthetic form used in supplements.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.015
GPT teacher head0.304
Teacher spread0.289 · 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
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

Citations20
Published2014
Admission routes1
Has abstractyes

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