The spectrum of multisystem inflammatory syndrome (MIS-C) in children infected with severe acute respiratory syndrome coronavirus 2
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
Introduction: The impact of SARS-CoV-2 infections in children has generally been described as relatively benign. However, since April 2020, there have been reports of a new multisystem inflammatory illness affecting children and related to COVID-19 termed multisystem inflammatory syndrome in children (MIS-C). Aim: To describe 3 cases of children diagnosed with MIS-C and discuss the disease spectrum. Methods: We collected and reviewed data from 3 cases diagnosed with MIS-C admitted to our pediatric ward between October 2020 and January 2021. Discussion: MIS-C is a newly described disease that spans a spectrum of phenotypes and severity, and while it shares clinical similarities with Kawasaki disease, it has a unique set of epidemiological, laboratory, and prognostic characteristics. In this review, we hope to add to the understanding of this new entity. Statement of Novelty: This report discusses 3 cases of MIS-C and elaborates on the spectrum and immunology of this entity. Our cases are unique in their relatively wide spectrum and variability. We hope our own experience with MIS-C adds to the accumulating knowledge and understanding of this emerging disease.
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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 | 0.001 |
| 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