MétaCan
Menu
Back to cohort
Record W2095409252 · doi:10.3201/eid1907.130027

The Stealth Virus

2013· article· en· W2095409252 on OpenAlexaff
Julian W. Tang

Bibliographic record

VenueEmerging infectious diseases · 2013
Typearticle
Languageen
FieldMedicine
TopicCytomegalovirus and herpesvirus research
Canadian institutionsProvincial Laboratory of Public Health
Fundersnot available
KeywordsVirologyVirusBiologyMedicine

Abstract

fetched live from OpenAlex

This is a lucid read on a complex virus, cytomegalovirus (CMV), that affects those in all ages of life from the unborn fetus to the elderly pensioner. Griffiths has used one of the many self-publishing, internet-based services to publish and distribute this book via the popular amazon.com and amazon.co.uk websites. All profits from its sale are being donated to the Royal Free Charity, which has supported his research on CMV for many years. The book is arranged chronologically; the 18 chapters are headed by a range of years, starting with 1910 (Chapter 1) and ending in 2012 (Chapter 18). An interesting approach is used in the Prologue (dated 180 million years ago), where the virus speaks to the reader in the first person. The virus’s voice summarizes the most important aspects of its virology and its clinical impact on a largely unsuspecting human population. Several important themes are introduced here: 1) the author’s clear views about the relative irrelevance of experiments on mice to the human situation; 2) the missed opportunities that studying CMV earlier could have created by helping the scientific community to understand and more effectively combat other viruses, such as HIV; and 3) how a vaccine approach would be the best way to control this viral pathogen. The book starts off by discussing other viruses of clinical importance (polio, varicella zoster, rubella, herpes simplex, and HIV), gradually setting the scene for the emergence of CMV. Interspersed between the history of the science and the emerging clinical importance of this virus are patient case histories. At least 1 case is described in each chapter (suitably anonymized with alternative and sometimes memorable names, such as “Stevie Headbanger”), covering the most common clinical CMV scenarios. These include CMV infection and disease in newborns, pregnant women, transplant patients, persons with HIV/AIDS, and other immunocompromised patients. Other cases also demonstrate the virus’ impact on otherwise healthy teenagers studying for exams, retirees caring for their grandchildren, and recovering burn and gunshot victims (in this instance, Pope John Paul II). Such case histories provide clear examples of complications arising from both primary and reactivated CMV infection and disease. Most (if not all) of the relevant major scientific and medical advances related to CMV are noted, including the development of the various anti-CMV drugs, with due credit given to the investigating teams. Most passionately of all, Griffiths carefully charts gradually changing attitudes to the development of a CMV vaccine. Curiously, the author writes about his own role in the CMV story in the third person—perhaps to maintain a scientist’s natural objectivity. Notably, in the latter half of the book, he tends to use more technical jargon, which may cause problems for some readers. Yet, this does not necessarily detract from the book’s value; rather, it may provide reassurance to the readers that they are, indeed, in the hands of a master. The development of a CMV vaccine is now gaining support internationally, thanks in no small part to the efforts of the author. When the vaccine is eventually available, anyone with any doubts about its potential benefits can simply read this little book.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.289
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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.002

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 head0.014
GPT teacher head0.306
Teacher spread0.292 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueEmerging infectious diseasesSame topicCytomegalovirus and herpesvirus researchFrench-language works237,207