Pyrogenic, Lethal, and Emetic Properties of Superantigens in Rabbits and Primates
Bibliographic record
Abstract
Superantigens (SAgs) stimulate large fractions of T cells by circumventing normal antigen presentation through binding both class II major histocompatibility complex (MHC) molecules on antigen-presenting cells, and specific variable regions on the β-chain (Vβ) of the T-cell antigen receptor (TCR) (1,2). The bacterial SAgs produced from coagulase positive staphylococci (Staphylococcus aureus) and group A streptococci (GAS; Streptococcus pyogenes) belong to the large and expanding family of pyrogenic toxins, and various members of this group of SAgs have a clear involvement in the toxic shock syndrome (TSS). Through SAg-mediated stimulation, Tlymphocytes are activated at several orders of magnitude above antigen-specific activation, resulting in the extensive release of cytokines that are believed to be responsible for the most severe features of TSS. SAgs from S. aureus include toxic shock syndrome toxin-1 (TSST-1), multiple staphylococcal enterotoxin (SE) serotypes (A through P, excluding F), while SAgs from S. pyogenes include streptococcal pyrogenic exotoxin (SPE) serotypes (A, C, G, H, I, J) as well as streptococcal superantigen (SSA) and multiple streptococcal mitogenic exotoxin Z (SMEZ) variants (3-5). The toxins within this class of SAgs that have been tested are all pyrogenic, and all are likely to be capable to induce TSS in susceptible hosts if supplied in sufficient quantity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".