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Record W3161740897 · doi:10.1111/imm.13347

Beyond cytokines: Influences of the endocrine system on human immune homeostasis

2021· editorial· en· W3161740897 on OpenAlexaff
Simon Milling

Bibliographic record

VenueImmunology · 2021
Typeeditorial
Languageen
FieldNeuroscience
TopicStress Responses and Cortisol
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsImmune systemHomeostasisEndocrine systemHormoneBiologyImmunologyNeuroscienceCell biologyEndocrinology

Abstract

fetched live from OpenAlex

The immune system must be tightly controlled to prevent potentially damaging over-response to pathogens and must also be actively maintained in a responsive state when no immediate threat is present. These processes of control and maintenance are important for sustaining a state of immune homeostasis and are controlled by a network of cellular and molecular interactions. Here, we highlight a recent publication in Immunology (2021) where the authors have examined the effects of the thyroid and pituitary hormones, thyrotrophin and thyroxine, on immune homeostasis in humans. This work reveals homeostatic effects of these hormones on T cells and B cells and raises the possibility that the endocrine system might be manipulated to modulate the immune response.

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)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.009
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0020.003
Scholarly communication0.0040.004
Open science0.0020.001
Research integrity0.0090.019
Insufficient payload (model declined to judge)0.0030.002

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 head0.020
GPT teacher head0.297
Teacher spread0.277 · 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 designNot applicable
Domainnot available
GenreEditorial

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

Citations7
Published2021
Admission routes1
Has abstractyes

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