Long COVID: a consequence of chronic post-infectious inflammation!
Bibliographic record
Abstract
INTRODUCTION: Long COVID defines persistence of symptoms in patients that recovered from acute COVID-19 infections. This manuscript is a brief update on current thinking on long COVID and potential causes and consequences. AREAS COVERED: The extent of long COVID varies between patients with some 200 symptoms described and of different severities. Persistent inflammatory or persistent viral infections or both may be the cause of long COVID but sorting this out will take years. EXPERT OPINION: Long COVID is an unfortunate consequence of COVID-19 infection and it remains uncertain why some people are afflicted and others not and as with other infectious diseases, it may be both a function of the virus strain, the host or both. Direct organ damage during acute infection versus inflammatory mediated damage over time are important questions to address. The disease outcome and chronic sequelae are likely related to the strains of infectious agent and/or host immunity and genetic predisposition.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".