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Record W4380183478 · doi:10.1101/2023.06.06.23290973

Immunogenicity of a Two Dose Regimen of Moderna mRNA Beta/Omicron BA.1 Bivalent Variant Vaccine Boost in a Randomized Clinical Trial

2023· preprint· en· W4380183478 on OpenAlexfundno aff
Nadine Rouphael, Angela R Branche, David Diemert, Ann R. Falsey, Cecilia Losada, Lindsey R. Baden, Sharon E. Frey, Jennifer A. Whitaker, Susan J. Little, Satoshi Kamidani, Emmanuel B. Walter, Richard M. Novak, Richard Rupp, Lisa A. Jackson, Tara M Babu, Angelica C Kottkamp, Anne F. Luetkemeyer, Lilly Cheng Immergluck, Rachel M. Presti, Martín Bäcker, Patricia Winokur, Siham Mahgoub, Paul Goepfert, Dahlene N. Fusco, Robert L. Atmar, Christine M. Posavad, Antonia Netzl, Derek J. Smith, Kalyani Telu, Jinjian Mu, Mat Makowski, Mamodikoe Makhene, Sonja Crandon, David C. Montefiori, Paul C. Roberts, John H. Beigel

Bibliographic record

VenuemedRxiv · 2023
Typepreprint
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsnot available
FundersNational Institute of Allergy and Infectious DiseasesMedical Center, University of RochesterNYU Grossman School of MedicineUniversity of California, San DiegoSchool of Medicine, Duke UniversityNational Institutes of HealthYork UniversityMorehouse School of MedicineNational Cancer InstituteBrigham and Women's HospitalKaiser PermanenteEmory UniversitySaint Louis UniversityUniversity of RochesterKaiser Permanente Washington Health Research InstituteUniversity of Illinois at Urbana-ChampaignTulane UniversityGeorge Washington UniversityUniversity of WashingtonChildren's Healthcare of Atlanta
KeywordsBivalent (engine)ImmunogenicityRegimenMedicineVirologyImmunologyChemistryInternal medicineImmune system

Abstract

fetched live from OpenAlex

In this brief report, we compare the magnitude and durability of the serologic response of one versus two doses (separated by 56 days) of a variant vaccine (Moderna mRNA-1273 Beta/Omicron BA.1 bivalent vaccine) in adults.

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)0.003
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: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.120
GPT teacher head0.428
Teacher spread0.308 · 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 designRandomized trial
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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

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