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Record W7052537290

SARS; epidemiologia, riserve animali del virus ed aspetti zoonosici

2004· article· en· W7052537290 on OpenAlexaboutno aff

Bibliographic record

VenueCINECA IRIS Institutial research information system (University of Pisa) · 2004
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsCoronavirusEpidemiologyMiddle East respiratory syndrome coronavirusIsolation (microbiology)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Identification (biology)Coronavirus disease 2019 (COVID-19)Etiology
DOInot available

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.613
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.001

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.

Opus teacher head0.058
GPT teacher head0.306
Teacher spread0.248 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2004
Admission routes1
Has abstractyes

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