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Record W3200527247 · doi:10.54044/rami.2021.01.07

SARS-CoV-2 - SYNOPTIC CHART OF THE MAIN CHARACTERISTICS OF VIRUS, PATHOGENESIS, IMMUNE RESPONSE, IMMUNOPROPHYLAXIS

2021· article· en· W3200527247 on OpenAlexaff
Veronica Lazăr, Petronela Ancuța

Bibliographic record

VenueRomanian Archives of Microbiology and Immunology · 2021
Typearticle
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsCoronaviridaeVirologyMiddle East respiratory syndromeVirusMiddle East respiratory syndrome coronavirusPandemicImmunologyCoronavirusBiologyImmune systemMedicineInfectivityARDSDiseaseInfectious disease (medical specialty)Coronavirus disease 2019 (COVID-19)LungPathology

Abstract

fetched live from OpenAlex

Coronaviruses (CoVs) are viruses of zoonotic origin, transmitted from person to person mainly via the respiratory tract. Seven types of CoVs have succeeded in making the leap from animals to humans. Among them, four produce the common cold, while the other three, more recently emerged CoVs, cause the Severe Acute Respiratory Syndrome (SARS) and exhibit a high epidemic/pandemic potential: SARS-CoV, Middle East Respiratory Syndrome (MERS)-CoV, and SARS-CoV-2. The new SARS-CoV-2 is the etiological agent of the current and unprecedented pandemic, associated with a unique pathology named Corona-virus Disease 2019 (COVID-19). These viruses belong to the Coronaviridae family - classified by ICTV (International Committee for Taxonomy of Viruses) in the fourth Class, that of enveloped viruses with a positive-strand RNA genome, infectious for both birds and mammals. As an airborne pathogen, its high infectivity is intensified by the widespread expression of its specific entry receptors (ACE-2, TMPRSS2) in various human organs and tissues, SARS-CoV-2 has spread rapidly from China throughout the whole world, causing numerous infections (approximately 128 million), with a relatively high lethality (approximately 2.8 million). The particular feature of the severe evolution of the SARS-CoV-2 infection is its association with Respiratory Distress Syndrome (ARDS) and Systemic Inflammatory Response Syndrome (SIRS), mainly in older patients or those with comorbidities. In the absence of a standard therapeutic protocol, the medical systems worldwide have been challenged to continuously improve the COVID-19 treatment, based on emerging data from rapidly initiated clinical trials. At the same time, specialists in virology, immunology, and vaccinology have collaborated at an unprecedented pace to design and implement effective SARS-CoV-2 vaccines. In this review we highlight the most important advances made in understanding the characteristics of SARS-CoV-2, including the viral replication cycle, as well as COVID-19 pathogenesis, immune responses mounted by the host following natural infection (with various forms, from moderate to severe and lethal ones) and vaccines.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.266
Threshold uncertainty score0.768

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.013
GPT teacher head0.260
Teacher spread0.247 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations1
Published2021
Admission routes1
Has abstractyes

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