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Record W4307244444 · doi:10.54293/smhj.v2i2.43

Effect of Ageing on The Immune System, A Review

2022· review· en· W4307244444 on OpenAlexaff
Najlaa Mohammad Alsudairy, Sultanah Sameer Ibrahim Saeedi, Nourah Abdullah Alfarhan, ABDULELAH HUSSAIN MOHAMMED AL HAMID, Abdullah Hussain A Alqawain, Zakariya Ali Ahmed AlDawood, Duaa Jawad Aljumah, Hisham Sultan Althobaiti, Asma Ghassan Sadeq, Faisal Mohammed Abdullah Alnemari, Abdulrauf Abdulatif Tashkandi, Ahmad Hamed A Alharbi, Alwaleed khalid Alsufyani, Majed Ali A Alshehri, Rami Ali Shebaily

Bibliographic record

VenueSaudi Medical Horizons Journal · 2022
Typereview
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsHealth Care Foundation
Fundersnot available
KeywordsAgeingStressorImmune systemVulnerability (computing)Stress (linguistics)Social stressPsychologyGerontologyMedicineDevelopmental psychologyImmunologyClinical psychologyComputer scienceComputer security

Abstract

fetched live from OpenAlex

The immune system's performance declines as we age, increasing our vulnerability to illnesses and perhaps lowering our quality of life. Stress and normal ageing both cause a decline in immune function. Social and psychological pressures are a regular component of life and the cause of significant events that alter direction. Throughout their lives, people are exposed to a variety of stressors, with effects that develop at various rates due to differences in stress exposure, stress buffering, stress reactivity, stress duration (recovery), and restorative mechanisms. The consequences of these processes on older persons' stress levels have been shown to mimic, aggravate, and possibly accelerate the immune system's ageing process. Therefore, it would be advantageous for aged people and less expensive for society to be able to renew the ageing immune system.

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)0.015
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.871
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.005
Insufficient payload (model declined to judge)0.0210.000

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 head0.080
GPT teacher head0.464
Teacher spread0.384 · 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.

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

Citations0
Published2022
Admission routes1
Has abstractyes

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