Bibliographic record
Abstract
Coronaviruses are important pathogens reported in humans and animals. A novel coronavirus, formally known as Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), was identified as a cause of pneumonia cases in Wuhan, China, in late 2019. Since its outbreak in China, it has disproportionately affected many countries. Coronavirus disease 2019 (COVID-19) was officially declared a pandemic on March 11, 2020 and remains a global concern. A spectrum of disease severity has been reported with a variable course of illness from mild upper respiratory symptoms, pneumonia to acute respiratory distress syndrome (ARDS), shock, multiorgan dysfunction and death. The worldwide dissemination of the virus justifies the global efforts in identifying potential treatment strategies and a vaccine for improved clinical and long-term outcomes. This article will reflect on human viral replication and transmission, variable clinical presentation, assessment, treatment and discussion of complications. Isolation precautions according to infection prevention and control including protective apparel will be discussed with emphasis on criteria for discontinuation of transmission precaution.
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.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.004 |
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".