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Record W2009377999 · doi:10.3109/00207450108986506

Mast Cell Numbers in the Young Rat Thalamus: A Search for Control Factors

2001· article· en· W2009377999 on OpenAlexaff
Gyslaine F. Lafrenière, Michael A. Persinger

Bibliographic record

VenueInternational Journal of Neuroscience · 2001
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAmino Acid Enzymes and Metabolism
Canadian institutionsLaurentian University
Fundersnot available
KeywordsMast cellThalamusMast (botany)SalineEndocrinologyBiologyInternal medicineDegranulationTaurineCompound 48/80AndrologyMedicineImmunologyNeuroscienceBiochemistryReceptor

Abstract

fetched live from OpenAlex

Numbers of mast cells within brain space can be influenced by exposures to weak, complex magnetic fields. The present studies were designed to help isolate the factors that control numbers of mast cell within the thalamus (n=96) of 15 and 20 day old rat pups. In Experiment I, rat pups were injected daily with either 1 microliter/g or 10 microliter/g of either distilled water, isotonic saline or 0.5 M saline; another group served as controls. The numbers of thalamic mast cells did not differ significantly between the four groups. In Experiment II, that employed a cross-fostering, split litter design, the rats whose mothers had consumed 0.9% taurine during pregnancy contained about twice as many mast cells within the thalamus compared to controls. Fifteen day old pups that had been reared by other mothers showed more mast cells than those reared by their own mothers. There were negative correlations (-.60) between the numbers of mast cells within the leptomeninges of the pups and the mothers' ovarian weights but no significant associations between the numbers of mast cells within the brains of the pups and the mothers.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.735
Threshold uncertainty score0.174

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 science0.0010.000
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 head0.019
GPT teacher head0.293
Teacher spread0.274 · 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

Citations3
Published2001
Admission routes1
Has abstractyes

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