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Record W1989446480 · doi:10.1196/annals.1375.047

Feasibility of a Type 1 Diabetes Primary Prevention Trial Using 2000 IU Vitamin D3 in Infants from the General Population with Increased HLA‐Associated Risk

2006· article· en· W1989446480 on OpenAlexaffabout
Brandy Wicklow, Shayne Taback

Bibliographic record

VenueAnnals of the New York Academy of Sciences · 2006
Typearticle
Languageen
FieldMedicine
TopicVitamin D Research Studies
Canadian institutionsUniversity of WinnipegUniversity of ManitobaResearch Manitoba
Fundersnot available
KeywordsMedicineVitamin D and neurologyRandomized controlled trialDiabetes mellitusPopulationType 2 diabetesVitaminType 1 diabetesHuman leukocyte antigenPediatricsPrimary preventionInternal medicineImmunologyEndocrinologyDiseaseEnvironmental healthAntigen

Abstract

fetched live from OpenAlex

Recent epidemiologic, immunologic, and NOD mouse studies suggest that intervention in the vitamin D system may be a successful method to prevent type 1 diabetes. Newborns at increased HLA-associated risk are randomized to receive either 400 or 2000 IU vitamin D3 by 1 month of age. We show that recruitment of babies from the general population for identification of HLA-associated risk status followed by enrollment to a randomized controlled prevention trial is feasible in Canada.

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)0.008
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.104
GPT teacher head0.382
Teacher spread0.278 · 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 designNon-randomized trial
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

Citations42
Published2006
Admission routes2
Has abstractyes

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