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Record W2094776015 · doi:10.1159/000235340

Regulation of Immune Responses by T Cells with Different Cytokine Secretion Phenotypes: Role of a New Cytokine, Cytokine Synthesis Inhibitory Factor (IL10)

2009· review· en· W2094776015 on OpenAlex

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

VenueInternational Archives of Allergy and Applied Immunology · 2009
Typereview
Languageen
FieldImmunology and Microbiology
TopicIL-33, ST2, and ILC Pathways
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCytokineInterleukin 10Immune systemImmunologyInterleukin 4BiologySecretionAllergyPhenotypeEndocrinologyGeneticsGene

Abstract

fetched live from OpenAlex

Subsets of T cells, defined by the patterns of cytokines that they secrete, show important functional differences, and appear to be at least partly responsible for the different immune responses induced by various pathogens. Two very distinct subsets, TH1 and TH2, are mutually inhibitory, and a newly discovered cytokine, IL10, is one of the mediators of this cross-regulation. IL10 inhibits the synthesis of cytokines by TH1 cells but not TH2 cells. Since TH2 cells produce IL4 and IL5, which lead to some of the major manifestations of allergy, it is likely that IL10 production biases an immune response towards allergy.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.546
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.010
GPT teacher head0.221
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