SARS; epidemiologia, riserve animali del virus ed aspetti zoonosici
Bibliographic record
Abstract
Severe acute respiratory syndrome (SARS) was first detected at the end of 2002 in the Guangdon province of China. Starting from march 2003 this new infection spread to several location in Asia (Hong Kong, Vietnam, Singapore and Taiwan), North America (Canada ad USA), Europe, Oceania, Middle East and South Africa. The peak of the epidemic was reached at the end of May 2003 when 30 Countries were involved.\nThe identification of a new coronavirus (SCoV) as the etiological agent of SARS has evoked interest in the epidemiology of coronavirus infections in animals to find out the origin of the new pathogen.\nThe prominent theory is that ScoV has reservoirs in animal species. Thus has been given credibility by the isolation of ScoV like coronaviruses from several species of wild animals in markets of Southern China. Furthermore rats were found to be responsible of the spread of infection I the Amoy Garden apartment complex in Hong Kong, where more than 300 human cases of SARS were identified.\nThis review summarizes present knowledge on SCoV infection focusing on the epidemiology and zoonotic hypothesis with particular emphasis on the knowledge accumulated on the animal coronavirus infections.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".