Too Much of a Good Thing: High T Cell Count Can Kill Newborns
Bibliographic record
Abstract
Neonates have a weakened immune system that could be due to low exposure to pathogens resulting in low adaptive immunity and/or purposeful immune suppression to protect the weak neonate from a robust immune response. The purpose of this project is to find preliminary data to further investigate why the immune system of neonates are weaker, and to possibly improve neonatal immunity while protecting against a powerful immune response in the future. Using processed mice spleen cells that were stained for CD4 and CD8 to be subjected to flow cytometry, an increase in the percent of helper CD4 and killer CD8 T cells were observed as the mice aged. This indicates that neonates do have a weaker immune system. Between healthy mice and mice infected with either Bordetella pertussis or Listeria, a decrease in the percent of CD4 and CD8 T cells were found, which could be because not enough time had passed for an adaptive immune response.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".