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Record W2080114811 · doi:10.7448/ias.17.1.19859

The transient HIV remission in the Mississippi baby: why is this good news?

2014· article· en· W2080114811 on OpenAlexaboutno aff
Jintanat Ananworanich, Merlin L. Robb

Bibliographic record

VenueJournal of the International AIDS Society · 2014
Typearticle
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSurpriseViremiaPsychological interventionPediatricsViral loadAntiretroviral therapyHuman immunodeficiency virus (HIV)Family medicinePsychiatry

Abstract

fetched live from OpenAlex

reproduction in any medium, provided the original work is properly cited. As researchers, clinicians and community advocates gathered for the 20th International AIDS Society meeting in Melbourne in July of this year, the announcement of resumption of viremia in the Mississippi baby came as an unwelcome surprise. The case had previously stirred excitement that a cure was possible without the extreme measure of bone marrow transplanta-tion as in the Berlin patient [1]. When this was no longer true, conversations about the end of our quest for a HIV cure ensued. The Mississippi baby was unique in that her HIV viral load in the blood was undetectable for 27 months without anti-retroviral therapy (ART) [2] a situation that was almost unheard of in the majority of people living with HIV, for whom HIV would return with a vengeance in a matter of weeks if ART was stopped. This baby gave us hope that when ART is

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)0.004
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.019
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0060.004
Scholarly communication0.0050.006
Open science0.0010.002
Research integrity0.0120.032
Insufficient payload (model declined to judge)0.0040.002

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 head0.013
GPT teacher head0.266
Teacher spread0.253 · 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 designCase report
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

Citations23
Published2014
Admission routes1
Has abstractyes

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