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Antiviral Agents, Vaccines, and Immunotherapies

2005· article· en· W2082611609 on OpenAlexaffabout
Upton Allen, Chaim M. Roifman

Bibliographic record

VenueAnnals of Internal Medicine · 2005
Typearticle
Languageen
FieldMedicine
TopicHepatitis B Virus Studies
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineFamily medicineImmunology

Abstract

fetched live from OpenAlex

Medical Writings: Book Notes19 April 2005Antiviral Agents, Vaccines, and ImmunotherapiesUpton D. Allen, MBBS, MSc and Chaim M. Roifman, MDUpton D. Allen, MBBS, MScFrom Infection, Immunity, Injury and Repair Program, The Hospital for Sick Children and the University of Toronto, Toronto, Ontario, Canada.Search for more papers by this author and Chaim M. Roifman, MDFrom Infection, Immunity, Injury and Repair Program, The Hospital for Sick Children and the University of Toronto, Toronto, Ontario, Canada.Search for more papers by this authorAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/0003-4819-142-8-200504190-00034 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail Tyring SK. 424 pages. New York: Marcel Dekker; 2005. $189.95. ISBN 0824754085. Order at www.dekker.com.Field of medicine: Virology, infectious diseases, and immunology.Format: Hardcover book.Audience: Clinicians and scientists working in the fields of virology, infectious diseases, and immunology.Purpose: To enhance clinicians' and scientists' knowledge and understanding of current management strategies for viral diseases and the prospects of future advances. Antiviral therapy is an important subject because several major viral infections lack adequate therapy. In some situations, treatments exist, but they are limited by substantial toxicity.Content: The book reviews recent advances in antiretroviral therapies, general antiviral therapies, ... Author, Article, and Disclosure InformationAffiliations: From Infection, Immunity, Injury and Repair Program, The Hospital for Sick Children and the University of Toronto, Toronto, Ontario, Canada. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetails Metrics 19 April 2005Volume 142, Issue 8Page: 686KeywordsAntiviral therapyAntiviralsChildrenForecastingImmunologyImmunotherapyInfectious diseasesScientistsVaccinesVirology ePublished: 19 April 2005 Issue Published: 19 April 2005 Copyright & PermissionsCopyright © 2005 by American College of Physicians. All Rights Reserved.PDF downloadLoading ...

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.086
Threshold uncertainty score0.287

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0860.059

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 head0.055
GPT teacher head0.361
Teacher spread0.306 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2005
Admission routes2
Has abstractyes

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