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Record W2748267713 · doi:10.1099/jgv.0.000896

HPV-11 variability, persistence and progression to genital warts in men: the HIM study

2017· article· en· W2748267713 on OpenAlexaff
Ema Flores-Díaz, Karen A. Sereday, Silvaneide Ferreira, Bradley Sirak, João Simão Sobrinho, Maria Luiza Baggio, Lenice Galan, Roberto C. Silva, Eduardo Lazcano‐Ponce, Anna R. Giuliano, Luisa L. Villa, Laura Sichero

Bibliographic record

VenueJournal of General Virology · 2017
Typearticle
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsInstitute for Research in Immunology and Cancer
FundersNational Cancer Institute
KeywordsSex organGenital wartsHPV infectionBiologyPersistence (discontinuity)EtiologyVirologyMedicineInternal medicineGeneticsCervical cancerHuman immunodeficiency virus (HIV)Cancer

Abstract

fetched live from OpenAlex

HPV-11 and HPV-6 are the etiological agents of about 90 % of genital warts (GWs). The intra-typic variability of HPV-11 and its association with infection persistence and GW development remains undetermined. Here, HPV infection in men (HIM) participants who had an HPV-11 genital swab and/or GW, preceded or not by a normal skin genital swab were analysed. Genomic variants were characterized by PCR-sequencing and classified within lineages (A, B) and sublineages (A1, A2, A3, A4). HPV-11 A2 variants were the most frequently detected in the genital swab samples from controls and in both genital swabs and GW samples from cases. The same HPV-11 variant was detected in the GW sample and its preceding genital swab. There was a lack of association between any particular HPV-11 variant and the increased risk for GW development.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.057
GPT teacher head0.397
Teacher spread0.340 · 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

Citations14
Published2017
Admission routes1
Has abstractyes

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