Prevention and therapy of COVID-19 via exogenous estrogen treatment for both male and female patients
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The presented work summarizes the results of studies underlining the crucial role of estrogen receptor (ER) signaling in both innate and adaptive immune responses as well as in tissue repairing processes during respiratory virus infection. Experimental studies justify that among respiratory virus infected mice, a weaker ER signaling leads to increased morbidity and mortality in both males and females. In animal experiments, estrogen treatment silences the inflammatory reactions and decreases virus titers leading to improved survival rate; it seems to be an ideal prevention and therapy against COVID-19. We should overcome the widespread reluctance to estrogen therapy as we have a unique estrogen formula; conjugated estrogens, or conjugated equine estrogens available under the brand name of Premarin deriving from natural sources. Premarin can exert similar ER upregulative and gene repairing power like endogenous estrogen without any risk for adverse reactions. Premarin is capable of stopping the COVID-19 pandemic.
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.
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 | 0.001 | 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 it