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Record W2256383215 · doi:10.1177/1721727x1401200102

Innate Lymphoid Cells: Immunoregulatory Cells of Mucosal Inflammation

2014· article· en· W2256383215 on OpenAlex
Vijay Kumar

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

VenueEuropean Journal of Inflammation · 2014
Typearticle
Languageen
FieldImmunology and Microbiology
TopicIL-33, ST2, and ILC Pathways
Canadian institutionsUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsInflammationInnate lymphoid cellImmunologyImmune systemInnate immune systemPathogenesisAcquired immune systemBiologyLymphatic systemRespiratory tractRespiratory system

Abstract

fetched live from OpenAlex

Inflammation is a very complex immunopathological process occurring due to exaggerated activation of immune system in response to various inflammatory stimuli (i.e. bacterial, viral, fungal or parasitic antigens, xenobiotics, autoantigens and sterile inflammation of unknown cause (i.e. tumor associated inflammation), traumatic inflammation or allergic inflammation etc.). Innate lymphoid cells (ILCs) are particular newly discovered immune cells, which have characteristics of both innate and adaptive immune cells. These cells have shown very significant roles in the pathogenesis of inflammatory disorders at mucosal surfaces (i.e. respiratory tract, gastrointestinal tract and mucosal skin surfaces or barriers). The present review, explores their role in pathogenesis of inflammation at mucosal sites.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.100
Threshold uncertainty score0.728

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.006
GPT teacher head0.181
Teacher spread0.175 · 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