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Record W2046273714 · doi:10.1089/107999001459141

Evaluation of Interleukin-4 Concentration by ELISA Is Influenced by the Consumption of IL-4 by Cultured Cells

2001· article· en· W2046273714 on OpenAlex
Catherine Ewen, Maria E. Baca‐Estrada

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Interferon & Cytokine Research · 2001
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Response and Inflammation
Canadian institutionsUniversity of Saskatchewan
FundersMedical Research Council CanadaNational Science Council
KeywordsELISPOTImmune systemCytokineSecretionIn vitroInterleukinImmunologyContext (archaeology)Interleukin 4BiologyChemistryCell biologyT cellEndocrinologyBiochemistry

Abstract

fetched live from OpenAlex

The ability to accurately measure cytokine secretion by immune cells is critical to the evaluation of immune mechanisms in the context of Th1 and Th2 responses. In this study, we demonstrated that in vitro consumption of interleukin-4 (IL-4) by stimulated cells influences the concentration of IL-4 in the culture supernatant. In contrast, evaluation of IL-4-secreting cells by ELISPOT is not influenced by the consumption of IL-4 by cultured cells. These discrepancies influence the cytokine profile when responses are evaluated in relation to the secretion of other cytokines, for example, interferon-gamma (IFN-gamma). This information ultimately should enable investigators to evaluate immune responses accurately without concerns of bias resulting from in vitro consumption of IL-4, thus providing much more reliable interpretations of the type of immune response being evaluated.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.113
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.059
GPT teacher head0.371
Teacher spread0.312 · 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