MétaCan
Menu
Back to cohort

I. Stress and hepatic inflammation

2000· review· en· W1853197269 on OpenAlex
Mark G. Swain

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

VenueAmerican Journal of Physiology-Gastrointestinal and Liver Physiology · 2000
Typereview
Languageen
FieldMedicine
TopicAdrenal Hormones and Disorders
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsInflammationImmune systemDiseaseMedicineCoping (psychology)Liver diseaseImmunologyInternal medicineClinical psychology

Abstract

fetched live from OpenAlex

Stress is an ever-present part of modern life. The "stress response" constitutes an organism's mechanism for coping with a given stress and is mediated via the release of glucocorticoids and catecholamines. Patients often complain of stress-related worsening of their liver disease; however, the interrelationship between stress and hepatic inflammation is incompletely understood and has received little scientific attention. Considering the broad impact glucocorticoids and catecholamines have on immune cell function, it is very likely that stress has a significant impact on the hepatic inflammatory response. This themes article discusses studies of the stress response and its peripheral effectors (glucocorticoids and catecholamines) in liver disease and their impact on hepatic inflammation and outlines potential areas for future scientific investigation.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.989
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.014
GPT teacher head0.274
Teacher spread0.260 · 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