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Record W3181968558 · doi:10.1128/jvi.00796-21

Enhanced Ability of Plant-Derived PGT121 Glycovariants To Eliminate HIV-1-Infected Cells

2021· article· en· W3181968558 on OpenAlexafffund
Sai Priya Anand, Shilei Ding, William D. Tolbert, Jérémie Prévost, Jonathan Richard, Hwi Min Gil, Gabrielle Gendron‐Lepage, Wing-Fai Cheung, Haifeng Wang, Rebecca Pastora, Hirak Saxena, Warren W. Wakarchuk, Halima Medjahed, Bruce D. Wines, P. Mark Hogarth, George M. Shaw, M A Martin, Dennis R. Burton, Lars Hangartner, David T. Evans, Marzena Pazgier, Doug Cossar, Michael D. McLean, Andrés Finzi

Bibliographic record

VenueJournal of Virology · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicTransgenic Plants and Applications
Canadian institutionsUniversité de MontréalToronto Metropolitan UniversityMcGill UniversityCentre Hospitalier de l’Université de Montréal
FundersNational Institute of Allergy and Infectious DiseasesNational Research Council CanadaCanadian Institutes of Health ResearchGovernment of CanadaNational Institutes of HealthNational Institute of General Medical Sciences
KeywordsBiologyEffectorHuman immunodeficiency virus (HIV)VirologyImmunologyCell biology

Abstract

fetched live from OpenAlex

PGT121 is a highly potent bNAb and its antiviral activities for HIV-1 prevention and therapy are currently being evaluated in clinical trials. The importance of its Fc-effector functions in clearing HIV-1-infected cells is also under investigation.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.345

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)0.0000.000

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 head0.008
GPT teacher head0.241
Teacher spread0.234 · 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 designBench or experimental
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

Citations16
Published2021
Admission routes2
Has abstractyes

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