Covid-19 emergency management activities promoted by an university hospital in Northern Italy
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
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it