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Record W2285877882 · doi:10.1385/1-59259-982-6:015

Identification of HPV Variants

2005· article· en· W2285877882 on OpenAlexaff
John Cason, Jon M. Bible, Christine Mant

Bibliographic record

VenueHumana Press eBooks · 2005
Typearticle
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsBiologyGeneticsGenomeOpen reading frameVirologyDNA sequencingVirusDNAMutationComputational biologyGenePeptide sequence

Abstract

fetched live from OpenAlex

The vast majority of anogenital carcinomas are caused by high-risk human papillomaviruses (HPVs), and among Western nations HPV-16 is usually the most predominant cancer-associated type. As a DNA virus, HPV type 16 has a relatively stable genome that is believed to have co-evolved with its host over the millennia. Nevertheless, among the "wild" populations of HPV-16 that are circulating, a large number of variants have been identified, and these may have considerably different pathogenic potentials. In this chapter, methods for screening and characterizing HPV-16 sequence variants are described. In particular, we describe methods for the identification of variation within the HPV-16 E5 open reading frame and for the detection of the nt 131 A-->G mutation of the E6 ORF, using restriction fragment length polymorphism assays. In addition, we describe approaches for DNA sequencing and analysis. Such methods are likely to be of particular interest to those involved in epidemiological investigations of virus transmission and pathogenicity studies.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.975
Threshold uncertainty score0.999

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)0.0020.000

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 head0.097
GPT teacher head0.374
Teacher spread0.277 · 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.

Study designOther design
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

Citations4
Published2005
Admission routes1
Has abstractyes

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