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Record W2981145495 · doi:10.1093/infdis/jiz527

rs73185306 C/T Is Not a Predisposing Risk Factor for Inherited Chromosomally Integrated Human Herpesvirus 6A/B

2019· article· en· W2981145495 on OpenAlexafffund
Annabelle Mouammine, Annie Gravel, Isabelle Dubuc, Yassamin Feroz Zada, Sylvie Provost, David Busseuil, Jean‐Claude Tardif, Marie‐Pierre Dubé, Louis Flamand

Bibliographic record

VenueThe Journal of Infectious Diseases · 2019
Typearticle
Languageen
FieldMedicine
TopicCytomegalovirus and herpesvirus research
Canadian institutionsMontreal Heart InstituteUniversité LavalUniversité de MontréalCentre hospitalier universitaire de Québec
FundersCanadian Institutes of Health Research
KeywordsOdds ratioSNPGeneticsGenotypeBiologySingle-nucleotide polymorphismRisk factorConfidence intervalVirologyMedicineGeneInternal medicine

Abstract

fetched live from OpenAlex

Approximately 1% of people worldwide carry a copy of the human herpesvirus 6A or 6B (HHV-6A/B) in every cell of their body. This condition is referred to as inherited chromosomally integrated HHV-6A/B (iciHHV-6A/B). The mechanisms leading to iciHHV-6A/B chromosomal integration are yet to be identified. A recent report suggested that the rs73185306 C/T single-nucleotide polymorphism (SNP) represents a favorable predisposing factor leading to HHV-6A/B integration. After genotype analysis of an independent cohort (N = 11 967), we report no association between the rs73185306 C/T SNP and HHV-6A/B chromosomal integration (odds ratio, 0.90 [95% confidence interval, .54-1.51]; P = .69).

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)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.021
GPT teacher head0.312
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 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

Citations1
Published2019
Admission routes2
Has abstractyes

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