Mast Cell Numbers in the Young Rat Thalamus: A Search for Control Factors
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".