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Record W3190427561 · doi:10.1056/nejmc2111462

Randomized Trial of a Third Dose of mRNA-1273 Vaccine in Transplant Recipients

2021· letter· en· W3190427561 on OpenAlexafffund
Victoria Hall, Victor H. Ferreira, Terrance Ku, Matthew Ierullo, Beata Majchrzak-Kita, Cecilia Chaparro, Nazia Selzner, Jeffrey Schiff, Michael McDonald, George Tomlinson, Vathany Kulasingam, Deepali Kumar, Atul Humar

Bibliographic record

VenueNew England Journal of Medicine · 2021
Typeletter
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsUniversity Health Network
FundersUniversity Health Network
KeywordsMedicineOrgan transplantationRandomized controlled trialImmune systemSolid organImmunologyInternal medicineTransplantation

Abstract

fetched live from OpenAlex

A Third Vaccine Dose in Organ-Transplant Recipients It is known that people receiving immune suppressive therapy, such as recipients of solid-organ transplants, have a suboptimal response to SARS-C...

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)0.001
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 score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.046
GPT teacher head0.342
Teacher spread0.297 · 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

Citations561
Published2021
Admission routes2
Has abstractyes

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Same venueNew England Journal of MedicineSame topicSARS-CoV-2 and COVID-19 ResearchFrench-language works237,207