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Record W1652374887 · doi:10.1159/000336523

The Mast Cell-Nerve Functional Unit: A Key Component of Physiologic and Pathophysiologic Responses

2012· article· en· W1652374887 on OpenAlex
Paul Forsythe, John Bienenstock

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

VenueChemical immunology/Fortschritte der Allergielehre/Progress in allergy/Chemical immunology and allergy · 2012
Typearticle
Languageen
FieldImmunology and Microbiology
TopicMast cells and histamine
Canadian institutionsSt. Joseph’s Healthcare Hamilton
Fundersnot available
KeywordsMast cellNeuroscienceBiologyImmune systemCentral nervous systemNervous systemSensory systemCholinergicImmunology

Abstract

fetched live from OpenAlex

A key characteristic of mast cells appears to be an ability to span the division between nervous and immune system. Indeed, much of our understanding of the bi-directional relationship between the nervous and immune systems has come from the study of mast cell-nerve interaction. Although differences in species have been reported, morphologic as well as functional associations between mast cell and nerves are found in most tissues in many mammalian species, including humans. These interactions are involved in the regulation of physiologic homeostatic processes as well as in disease mechanisms. Here we discuss the influence of cholinergic and sensory neurons on mast cells as well as the importance of mast cell nerve interactions at specific tissue sites, including the brain.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
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 score0.274
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.006
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0020.002
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 head0.225
Teacher spread0.211 · 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