SARS-CoV-2: Viral Mechanisms and Possible Therapeutic Targets — What to Learn from Rheumatologists
Bibliographic record
Abstract
It was with great interest that we read the editorial by Drs. Cron and Chatham1 linking the cytokine storm syndrome (CSS) seen in macrophage activation syndrome, common in the rheumatological setting, with a CSS postulated to be a background in the novel coronavirus (SARS-CoV-2) infection. Amid the high contagion of the virus, science was also infected by an infodemic, compelled to finish the race to find effective therapies, while physicians managed real-world patients. Molecular evidence has shown that SARS-CoV-2, by using the angiotensin-converting enzyme 22, enters in alveolar epithelial and endothelial cells, as well as macrophages. The TMPRSS2 protease induces virus–cell membrane fusion at the cell surface and facilitates entry of coronaviruses into the host cell3. … Address correspondence to Dr. A.L. Cerqueira De Sant’ana Costa, Avenida Bonfim, 161 Largo de Roma, Salvador, Bahia 40.420-415, Brazil. Email: caggmoura{at}yahoo.com.br.
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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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.008 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.021 | 0.030 |
| Insufficient payload (model declined to judge) | 0.004 | 0.004 |
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".