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
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.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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