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Record W2012134982 · doi:10.1159/000231945

The Difference in Effect of Predosing with Antiallergic Compounds between the Rat PCA Model and the Monkey Asthma Model

2009· article· en· W2012134982 on OpenAlexaff
Judy El-Azab, Brian R. Stewart

Bibliographic record

VenueInternational Archives of Allergy and Applied Immunology · 2009
Typearticle
Languageen
FieldMedicine
TopicAllergic Rhinitis and Sensitization
Canadian institutionsPurdue Pharma (Canada)
Fundersnot available
KeywordsTachyphylaxisInternal medicineAscaris suumEndocrinologyMedicineImmunology

Abstract

fetched live from OpenAlex

DSCG and PRD-92-Ea showed tachyphylaxis in the rat PCA test when a large intravenous dose (40 mg/kg of DSCG and 20 mg/kg of PRD-92-Ea) was given 30 min before administering intravenously the expected effective doses at the time of antigen challenge. This predosing led to a marked loss of effectiveness. Cross-reacting tachyphylaxis was also demonstrated in this model. Predosing rats with DSCG led to a great loss of effectiveness of a subsequent expected active dose of PRD-92-Ea and predosing with PRD-92-Ea had the same effect in preventing the antiallergic action of a subsequent dose of DSCG. The Rhesus monkey (Macaca mulatta) did not exhibit this phenomenon of tachyphylaxis. PRD-92-Ea and DSCG were given intravenously 30 min before and the same dose of 20 mg/kg repeated just before Ascaris suum challenge in the Rhesus monkey asthma model with no loss of their expected effectiveness.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.621
Threshold uncertainty score0.300

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 studies0.0000.001
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 head0.007
GPT teacher head0.224
Teacher spread0.217 · 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 designSimulation or modeling
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

Citations5
Published2009
Admission routes1
Has abstractyes

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