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Record W1527586649 · doi:10.1159/000358904

On the Immunological Theory of Aging

2014· review· en· W1527586649 on OpenAlexafffund
Tamàs Fülöp, Jacek M. Witkowski, Graham Pawelec, Alan A. Cohen, Anis Larbi

Bibliographic record

VenueInterdisciplinary topics in gerontology and geriatrics · 2014
Typereview
Languageen
FieldNeuroscience
TopicStress Responses and Cortisol
Canadian institutionsUniversité de Sherbrooke
FundersCanadian Institutes of Health Research
KeywordsImmune systemLongevityImmunosenescenceExplanatory powerImmunityImmunologyPsychologyNeuroscienceMedicineGerontologyEpistemology

Abstract

fetched live from OpenAlex

Aging is a complex phenomenon the cause of which is not fully understood, despite the plethora of theories proposed to explain it. As we age, changes in essentially all physiological functions, including immunity, are apparent. Immune responses decrease with aging, contributing to the increased incidence of different chronic diseases with an inflammatory component (sometimes referred to as 'inflamm-aging'). It is clear from many studies that human longevity may be influenced by these changes in the immune system, but how they proceed is not clearly determined. In this chapter, we will review the age-related changes in the immune response and assess the validity of the immune theory of aging (i.e. that these changes in immune response are the primary cause of aging). Many data in humans support the notion that age-associated immune dysfunction may at least in part explain the aging process. Explanatory power may be enhanced by combination with other theories such as the free radical theory. More longitudinal studies are needed to corroborate the immune theory of aging.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.868
Threshold uncertainty score0.682

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.086
GPT teacher head0.377
Teacher spread0.291 · 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 designOther design
Domainnot available
GenreReview

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

Citations155
Published2014
Admission routes2
Has abstractyes

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