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Record W2004597643 · doi:10.1159/000213093

Age-Dependent Changes in Antigenic Promotion, A Th-2 Type of Activity

2009· article· en· W2004597643 on OpenAlexaff
T. Matsuzawa, B. Cinader

Bibliographic record

VenueGerontology · 2009
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Response and Inflammation
Canadian institutionsUniversity of Toronto
FundersMedical Research Council
KeywordsHaptenSpleenDinitrophenylSensitizationAntigenMacromoleculeChemistryImmunologyAntibodyMolecular biologyBiologyBiochemistry

Abstract

fetched live from OpenAlex

Help for a secondary response to a determinant can be dependent on previous exposure to other determinants of the macromolecule; it can also be independent of sensitization to such carrier determinants. A helper effect, which is independent of the hapten carrier bridge, can be seen in the indirect plaque-forming response. This Th-2 type of reactivity was observed in tissue culture with spleen cells from A/J and C57BL/6 mice, immunized with various macromolecules. The spleen cells of these mice were exposed in tissue culture to the sensitizing macromolecule and to antigens conjugated to a macromolecule which was structurally unrelated to the sensitizing macromolecule. Sensitization of the spleen cell donor with the hapten was not required for this help to be given if the hapten was 2,4-dinitrophenyl, but was required when the hapten was p-azobenzene sulfonic acid. The age, at which the Th-2 helper effect was first seen, shows polymorphism. The effect was detected well after sexual maturity, and 50% of the final value was reached only when the animal had passed the 20th week of its life. The variation in age of detectable Th-2 capacity depended on the nature of the hapten; with 2,4-dinitrophenyl, as the hapten, A/J and C57BL/6J differed very little in the age at which the Th-2 capacity became detectable; with p-azobenzene sulfonic acid the Th-2 capacity was detectable at a much later age in A/J than in C57BL/6 mice.

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.

How this classification was reachedexpand

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 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 score0.307
Threshold uncertainty score0.363

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.044
GPT teacher head0.300
Teacher spread0.256 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2009
Admission routes1
Has abstractyes

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