Intra and interspecies interaction between mass confined animals and their handlers – an ideal reservoir for Coronavirus evolution
Bibliographic record
Abstract
Multiple variants of the virus responsible for COVID-19 have been detected since the pandemic started, however a miniscule minority succeed in persisting and successfully promulgating infection in humans. A research group in Basel, Switzerland has detected a persistent mutant designated as 20A.EU1 of COVID-19, which has spread extensively in the European Continent. The initial stages of the variant appear to have originated in the North East region of Spain and two outbreaks of infection with this variant were detected in farmers coming from the provinces of Aragon and Catalonia in late June 2020. Later in July, more than 100,000 minks in the Spanish North East were culled as they were found to be infected by SARS-CoV-2. There is the possibility that the mass confinement of infected animals resulted in high viral reproduction rates increasing the risk for the development of mutants, which through crossing-over and natural selection persisted to become pathogenic in humans.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".