Neonatal COVID-19: little evidence and the need for more information
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
Based on available reports (up to the writing of this editorial) and on scientific data reported by China, Italy, and the United States, newborn infants appear to be significantly less affected by COVID-19 than adults. 1---3However, the lack of high-quality evidence for this situation and the steadfast pace of new and conflicting information has been an overall challenge to all medical specialties, including neonatal intensive care.In reality, the current knowledge on neonatal severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is limited.Therefore, several questions remain unanswered, while at the same time the neonatal community needs to take action.Not surprisingly, this has caused significant stress amongst neonatal health care providers.All over the world, a number of important groups have been diligently working on the development of protocols and guidelines for the neonatal COVID-19 outbreak. 4---7 In
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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 | 0.001 | 0.020 |
| 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