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Record W3193563115 · doi:10.1021/acscentsci.1c00596

Polymersomes Decorated with the SARS-CoV-2 Spike Protein Receptor-Binding Domain Elicit Robust Humoral and Cellular Immunity

2021· article· en· W3193563115 on OpenAlexfundno aff
Lisa R. Volpatti, Rachel P. Wallace, Shijie Cao, Michal M. Raczy, Ruyi Wang, Laura Gray, Aaron T. Alpar, Priscilla S. Briquez, Nikolaos Mitrousis, Tiffany M. Marchell, Maria Stella Sasso, Mindy Nguyen, Aslan Mansurov, Erica Budina, Ani Solanki, Elyse A. Watkins, Mathew R. Schnorenberg, Andrew C. Tremain, Joseph W. Reda, Vlad Nicolaescu, Kevin Furlong, Steve Dvorkin, Shann S. Yu, Balaji Manicassamy, James L. LaBelle, Matthew Tirrell, Glenn Randall, Marcin Kwissa, Melody A. Swartz, Jeffrey A. Hubbell

Bibliographic record

VenueACS Central Science · 2021
Typearticle
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsnot available
FundersDivision of ChemistryNational Institute of Allergy and Infectious DiseasesNational Institute of General Medical SciencesNational Heart, Lung, and Blood InstituteCanadian Institutes of Health ResearchChicago Biomedical ConsortiumNational Cancer InstituteNational Science FoundationNational Institutes of HealthUniversity of Chicago
KeywordsPolymersomeImmune systemProtein subunitReceptorCellular immunityCell biologyAntigenVirologyComputational biologyBiologyChemistryImmunologyBiochemistry

Abstract

fetched live from OpenAlex

T cell responses that produced multiple Th1-type cytokines. We conclude that a multivalent surface display of spike RBD on polymersomes promotes a potent neutralizing antibody response to SARS-CoV-2, while both antigen formulations promote robust T cell immunity.

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)0.001
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 score0.013
Threshold uncertainty score0.559

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
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 head0.036
GPT teacher head0.300
Teacher spread0.264 · 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

Citations37
Published2021
Admission routes1
Has abstractyes

Explore more

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