Covid-19 emergency management activities promoted by an university hospital in Northern Italy
Bibliographic record
Abstract
SUMMARY: Background. In December 2019, a Coronavirus 2019 epidemic (COVID-19) was reported, caused by a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which occurred in the city of Wuhan, Hubei province, China. Perceived risk of contracting diseases has led many Governments and Healthcare Organizations to implement a variety of control and protection measures for the population, in particular for health professionals who have made contact with positive Covid-19 patients. In this publication, we have carried out a review of the information available, in order to share the prevention and protection measures for health and safety at work, which a University Hospital of Pavia, in Northern Italy, has remodulated, according to the changed scenario in which professionals finds themselves carrying out their profession in the post lockdown, in account to the specificity of processes and methods of work organizing, which overall, they serve to characterize risks, in order to be able to prevent them in the best possible way for patients, visitors and healthcare professionals.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".