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Record W3132921411 · doi:10.1186/s12979-021-00219-y

Unanticipated efficacy of SARS-CoV-2 vaccination in older adults

2021· article· en· W3132921411 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueImmunity & Ageing · 2021
Typearticle
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsHealth Sciences North
Fundersnot available
KeywordsImmunosenescenceMedicineCoronavirus disease 2019 (COVID-19)VaccinationClinical trialSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakRandomized controlled trialPandemicImmunologyVirologyInfectious disease (medical specialty)DiseaseOutbreakImmune systemInternal medicine

Abstract

fetched live from OpenAlex

The rapidity with which vaccines against COVID-19 have been developed and tested is unprecedented. As classically the case with randomized clinical trials, many studies excluded older adults. However, given the early realisation that senior citizens were most highly susceptible to COVID, older individuals have been included in licensing trials under these unusual conditions. The recently published results from the Comirnaty Vaccine (BNT162b) trial unexpectedly documented that vaccine efficacy was equally exceptionally high in older and younger adults. These extremely encouraging trial results with a neoantigen vaccine may suggest the beginning of a paradigm shift in our view of the impact of immunosenescence on vaccination against novel infectious diseases.

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.

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)0.001
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 score0.323
Threshold uncertainty score0.526

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.056
GPT teacher head0.379
Teacher spread0.323 · 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