MétaCan
Menu
Back to cohort
Record W2162598494 · doi:10.1093/cid/cis206

Update on World Health Organization HIV Drug Resistance Prevention and Assessment Strategy: 2004-2011

2012· article· en· W2162598494 on OpenAlexaff
Michael R. Jordan, Diane Bennett, Mark A. Wainberg, D Havlir, S. Hammer, Chunfu Yang, Lynn Morris, Martine Peeters, Annemarie M. J. Wensing, Neil Parkin, Jean B. Nachega, Andrew Phillips, Andrea De Luca, Elvin Geng, Alexandra Calmy, Elliot Raizes, Paul Sandstrom, Chris Archibald, Joseph H. Perriëns, Craig McClure, Steven Y. Hong, James McMahon, Nikos Dedes, Donald Sutherland, Silvia Bertagnolio

Bibliographic record

VenueClinical Infectious Diseases · 2012
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS drug development and treatment
Canadian institutionsPublic Health Agency of CanadaMcGill UniversityJewish General Hospital
FundersCenters for Disease Control and PreventionNational Institutes of HealthU.S. President’s Emergency Plan for AIDS ReliefCenter for AIDS Research, University of WashingtonWorld Health OrganizationStrongStyrelsen för Internationellt UtvecklingssamarbeteNational Institute of Allergy and Infectious DiseasesBill and Melinda Gates Foundation
KeywordsHIV drug resistanceMedicineHuman immunodeficiency virus (HIV)AccreditationGeneral partnershipDrug resistanceTransmission (telecommunications)Family medicineAntiretroviral therapyViral loadMedical educationMicrobiologyComputer scienceTelecommunicationsBusiness

Abstract

fetched live from OpenAlex

The HIV drug resistance (HIVDR) prevention and assessment strategy, developed by the World Health Organization (WHO) in partnership with HIVResNet, includes monitoring of HIVDR early warning indicators, surveys to assess acquired and transmitted HIVDR, and development of an accredited HIVDR genotyping laboratory network to support survey implementation in resource-limited settings. As of June 2011, 52 countries had implemented at least 1 element of the strategy, and 27 laboratories had been accredited. As access to antiretrovirals expands under the WHO/Joint United Nations Programme on HIV/AIDS Treatment 2.0 initiative, it is essential to strengthen HIVDR surveillance efforts in the face of increasing concern about HIVDR emergence and transmission.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.642

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)0.0010.000

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 head0.032
GPT teacher head0.383
Teacher spread0.350 · 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.

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

Citations59
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueClinical Infectious DiseasesSame topicHIV/AIDS drug development and treatmentFrench-language works237,207